metaheuristics_citation.bib

@incollection{yang2010new,
	author = "Xin-She Yang",
	booktitle = "Nature inspired cooperative strategies for optimization (NICSO 2010)",
	pages = "65–74",
	publisher = "Springer",
	title = "A new metaheuristic bat-inspired algorithm",
	year = "2010",
	url={https://doi.org/10.1007/978-3-642-12538-6_6}
}

@incollection{yang2010firefly,
	author = "Xin-She Yang",
	booktitle = "Research and development in intelligent systems XXVI",
	pages = "209–218",
	publisher = "Springer",
	title = "Firefly algorithm, Levy flights and global optimization",
	year = "2010",
	url={https://doi.org/10.1007/978-1-84882-983-1_15}
}

@incollection{marinakis2011bumble,
	author = "Yannis Marinakis and Magdalene Marinaki",
	booktitle = "Handbook of Swarm Intelligence",
	pages = "347–369",
	publisher = "Springer",
	title = "Bumble bees mating optimization algorithm for the vehicle routing problem",
	year = "2011",
	url={https://doi.org/10.1007/978-3-642-17390-5_15}
}

@article{pan2012new,
	author = "Wen-Tsao Pan",
	journal = "Knowledge-Based Systems",
	pages = "69–74",
	publisher = "Elsevier",
	title = "A new fruit fly optimization algorithm: taking the financial distress model as an example",
	volume = "26",
	year = "2012",
	url={https://doi.org/10.1016/j.knosys.2011.07.001}
}


@article{gandomi2012krill,
	author = "Amir Hossein Gandomi and Amir Hossein Alavi",
	journal = "Communications in nonlinear science and numerical simulation",
	number = "12",
	pages = "4831–4845",
	publisher = "Elsevier",
	title = "Krill herd: a new bio-inspired optimization algorithm",
	volume = "17",
	year = "2012",
	url={https://doi.org/10.1016/j.cnsns.2012.05.010}
}


@article{askarzadeh2013new,
	author = "Alireza Askarzadeh and Alireza Rezazadeh",
	journal = "International Journal of Energy Research",
	number = "10",
	pages = "1196–1204",
	publisher = "Wiley Online Library",
	title = "A new heuristic optimization algorithm for modeling of proton exchange membrane fuel cell: bird mating optimizer",
	volume = "37",
	year = "2013",
	url={https://doi.org/10.1002/er.2915}
}


@article{kaveh2013new,
	author = "A Kaveh and N Farhoudi",
	journal = "Advances in Engineering Software",
	pages = "53–70",
	publisher = "Elsevier",
	title = "A new optimization method: Dolphin echolocation",
	volume = "59",
	year = "2013",
	url={https://doi.org/10.1016/j.advengsoft.2013.03.004}
}

@inproceedings{meng2014new,
	author = "Xianbing Meng and Yu Liu and Xiaozhi Gao and Hengzhen Zhang",
	booktitle = "International conference in swarm intelligence",
	organization = "Springer",
	pages = "86–94",
	title = "A new bio-inspired algorithm: chicken swarm optimization",
	year = "2014",
	url={https://doi.org/10.1007/978-3-319-11857-4_10}
}


@article{wu2014wolf,
	author = "Hu-Sheng Wu and Feng-Ming Zhang",
	journal = "Mathematical Problems in Engineering",
	publisher = "Hindawi",
	title = "Wolf pack algorithm for unconstrained global optimization",
	volume = "2014",
	year = "2014",
	url={https://doi.org/10.1155/2014/465082}
}

@article{mirjalili2014grey,
	author = "Seyedali Mirjalili and Seyed Mohammad Mirjalili and Andrew Lewis",
	journal = "Advances in engineering software",
	pages = "46–61",
	publisher = "Elsevier",
	title = "Grey wolf optimizer",
	volume = "69",
	year = "2014",
	url={https://doi.org/10.1016/j.advengsoft.2013.12.007}
}

@article{bansal2014spider,
	author = "Jagdish Chand Bansal and Harish Sharma and Shimpi Singh Jadon and Maurice Clerc",
	journal = "Memetic computing",
	number = "1",
	pages = "31–47",
	publisher = "Springer",
	title = "Spider monkey optimization algorithm for numerical optimization",
	volume = "6",
	year = "2014",
	url={https://doi.org/10.1007/s12293-013-0128-0}
}

@article{mirjalili2015moth,
	author = "Seyedali Mirjalili",
	journal = "Knowledge-Based Systems",
	pages = "228–249",
	publisher = "Elsevier",
	title = "Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm",
	volume = "89",
	year = "2015",
	url={https://doi.org/10.1016/j.knosys.2015.07.006}
}



@article{mirjalili2015ant,
  title={The ant lion optimizer},
  author={Mirjalili, Seyedali},
  journal={Advances in engineering software},
  volume={83},
  pages={80--98},
  year={2015},
  publisher={Elsevier},
  url={https://doi.org/10.1016/j.advengsoft.2015.01.010}
}

@inproceedings{wang2015elephant,
  title={Elephant herding optimization},
  author={Wang, Gai-Ge and Deb, Suash and Coelho, Leandro dos S},
  booktitle={2015 3rd International Symposium on Computational and Business Intelligence (ISCBI)},
  pages={1--5},
  year={2015},
  organization={IEEE},
  url={https://doi.org/10.1109/ISCBI.2015.8}
}

@article{abedinia2016new,
	author = "Oveis Abedinia and Nima Amjady and Ali Ghasemi",
	journal = "Complexity",
	number = "5",
	pages = "97–116",
	publisher = "Wiley Online Library",
	title = "A new metaheuristic algorithm based on shark smell optimization",
	volume = "21",
	year = "2016",
	url={https://doi.org/10.1002/cplx.21634}
}

@article{askarzadeh2016novel,
	author = "Alireza Askarzadeh",
	journal = "Computers \& Structures",
	pages = "1–12",
	publisher = "Elsevier",
	title = "A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm",
	volume = "169",
	year = "2016",
	url={https://doi.org/10.1016/j.compstruc.2016.03.001}
}


@article{mirjalili2016whale,
	author = "Seyedali Mirjalili and Andrew Lewis",
	journal = "Advances in engineering software",
	pages = "51–67",
	publisher = "Elsevier",
	title = "The whale optimization algorithm",
	volume = "95",
	year = "2016",
	url={https://doi.org/10.1016/j.advengsoft.2016.01.008}
}

@article{meng2016new,
	author = "Xian-Bing Meng and Xiao Zhi Gao and Lihua Lu and Yu Liu and Hengzhen Zhang",
	journal = "Journal of Experimental \& Theoretical Artificial Intelligence",
	number = "4",
	pages = "673–687",
	publisher = "Taylor \& Francis",
	title = "A new bio-inspired optimisation algorithm: Bird Swarm Algorithm",
	volume = "28",
	year = "2016",
	url={https://doi.org/10.1080/0952813X.2015.1042530}
}

@article{yazdani2016lion,
	author = "Maziar Yazdani and Fariborz Jolai",
	journal = "Journal of computational design and engineering",
	number = "1",
	pages = "24–36",
	publisher = "Elsevier",
	title = "Lion optimization algorithm (LOA): a nature-inspired metaheuristic algorithm",
	volume = "3",
	year = "2016",
	url={https://doi.org/10.1016/j.jcde.2015.06.003}
}

@article{saremi2017grasshopper,
	author = "Shahrzad Saremi and Seyedali Mirjalili and Andrew Lewis",
	journal = "Advances in Engineering Software",
	pages = "30–47",
	publisher = "Elsevier",
	title = "Grasshopper optimisation algorithm: theory and application",
	volume = "105",
	year = "2017",
	url={https://doi.org/10.1016/j.advengsoft.2017.01.004}
}
@article{mirjalili2017salp,
	author = "Seyedali Mirjalili and Amir H Gandomi and Seyedeh Zahra Mirjalili and Shahrzad Saremi and Hossam Faris and Seyed Mohammad Mirjalili",
	journal = "Advances in Engineering Software",
	pages = "163–191",
	publisher = "Elsevier",
	title = "Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems",
	volume = "114",
	year = "2017",
	url={https://doi.org/10.1016/j.advengsoft.2017.07.002}
}

@article{dhiman2017spotted,
	author = "Gaurav Dhiman and Vijay Kumar",
	journal = "Advances in Engineering Software",
	pages = "48–70",
	publisher = "Elsevier",
	title = "Spotted hyena optimizer: a novel bio-inspired based metaheuristic technique for engineering applications",
	volume = "114",
	year = "2017",
	url={https://doi.org/10.1016/j.advengsoft.2017.05.014}
}

@article{kaveh2018lion,
	author = "A Kaveh and S Mahjoubi",
	journal = "Scientia Iranica",
	pages = "3113–3132",
	publisher = "Sharif University of Technology",
	title = "Lion pride optimization algorithm: A meta-heuristic method for global optimization problems",
	volume = "25",
	year = "2018",
	url={https://dx.doi.org/10.24200/sci.2018.20833}
}
@inproceedings{pierezan2018coyote,
  title={Coyote optimization algorithm: a new metaheuristic for global optimization problems},
  author={Pierezan, Juliano and Coelho, Leandro Dos Santos},
  booktitle={2018 IEEE Congress on Evolutionary Computation (CEC)},
  pages={1--8},
  year={2018},
  organization={IEEE},
  url = {https://doi.org/10.1109/CEC.2018.8477769}
}

@article{dhiman2019seagull,
	author = "Gaurav Dhiman and Vijay Kumar",
	journal = "Knowledge-Based Systems",
	pages = "169–196",
	publisher = "Elsevier",
	title = "Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems",
	volume = "165",
	year = "2019",
	url={https://doi.org/10.1016/j.knosys.2018.11.024}
}

@article{jain2019novel,
	author = "Mohit Jain and Vijander Singh and Asha Rani",
	journal = "Swarm and evolutionary computation",
	pages = "148–175",
	publisher = "Elsevier",
	title = "A novel nature-inspired algorithm for optimization: Squirrel search algorithm",
	volume = "44",
	year = "2019",
	url={https://doi.org/10.1016/j.swevo.2018.02.013}
}

@article{yapici2019new,
	author = "Hamza Yapici and Nurettin Cetinkaya",
	journal = "Applied Soft Computing",
	pages = "545–568",
	publisher = "Elsevier",
	title = "A new meta-heuristic optimizer: Pathfinder algorithm",
	volume = "78",
	year = "2019",
	url={https://doi.org/10.1016/j.asoc.2019.03.012}
}

@article{heidari2019harris,
	author = "Ali Asghar Heidari and Seyedali Mirjalili and Hossam Faris and Ibrahim Aljarah and Majdi Mafarja and Huiling Chen",
	journal = "Future Generation Computer Systems",
	pages = "849–872",
	publisher = "Elsevier",
	title = "Harris Hawks optimization: Algorithm and applications",
	volume = "97",
	year = "2019",
	url={https://doi.org/10.1016/j.future.2019.02.028}
}


@article{shadravan2019sailfish,
	author = "S Shadravan and HR Naji and Vahid Khatibi Bardsiri",
	journal = "Engineering Applications of Artificial Intelligence",
	pages = "20–34",
	publisher = "Elsevier",
	title = "The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems",
	volume = "80",
	year = "2019",
	url={https://doi.org/10.1016/j.engappai.2019.01.001}
}

@article{masadeh2019sea,
  title={Sea Lion optimization algorithm},
  author={Masadeh, Raja and Mahafzah, Basel A and Sharieh, Ahmad},
  journal={Sea},
  volume={10},
  number={5},
  year={2019},
  url={https://dx.doi.org/10.14569/IJACSA.2019.0100548}
}


@article{zhao2020manta,
  title={Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications},
  author={Zhao, Weiguo and Zhang, Zhenxing and Wang, Liying},
  journal={Engineering Applications of Artificial Intelligence},
  volume={87},
  pages={103300},
  year={2020},
  publisher={Elsevier},
  url={https://doi.org/10.1016/j.engappai.2019.103300}
}

@article{faramarzi2020marine,
  title={Marine predators algorithm: A nature-inspired Metaheuristic},
  author={Faramarzi, Afshin and Heidarinejad, Mohammad and Mirjalili, Seyedali and Gandomi, Amir H},
  journal={Expert Systems with Applications},
  pages={113377},
  year={2020},
  publisher={Elsevier},
  url={https://doi.org/10.1016/j.eswa.2020.113377}
}


@article{khishe2020chimp,
  title={Chimp optimization algorithm},
  author={Khishe, M and Mosavi, Mohammad Reza},
  journal={Expert Systems with Applications},
  pages={113338},
  year={2020},
  publisher={Elsevier},
  url={https://doi.org/10.1016/j.eswa.2020.113338}
}

@article{xue2020novel,
  title={A novel swarm intelligence optimization approach: sparrow search algorithm},
  author={Xue, Jiankai and Shen, Bo},
  journal={Systems Science \& Control Engineering},
  volume={8},
  number={1},
  pages={22--34},
  year={2020},
  publisher={Taylor \& Francis},
  url={https://doi.org/10.1080/21642583.2019.1708830}
}


@article{kaveh2012new,
  title={A new meta-heuristic method: ray optimization},
  author={Kaveh, A and Khayatazad, M},
  journal={Computers \& structures},
  volume={112},
  pages={283--294},
  year={2012},
  publisher={Elsevier},
  url = {https://doi.org/10.1016/j.compstruc.2012.09.003}
}


@article{kaveh2010novel,
  title={A novel heuristic optimization method: charged system search},
  author={Kaveh, A and Talatahari, S},
  journal={Acta Mechanica},
  volume={213},
  number={3-4},
  pages={267--289},
  year={2010},
  publisher={Springer},
  url = {http://doi.org/10.1007/s00707-009-0270-4}
}



@article{hatamlou2013black,
  title={Black hole: A new heuristic optimization approach for data clustering},
  author={Hatamlou, Abdolreza},
  journal={Information sciences},
  volume={222},
  pages={175--184},
  year={2013},
  publisher={Elsevier},
  url={https://doi.org/10.1016/j.ins.2012.08.023}
}



@inproceedings{bayraktar2010wind,
  title={Wind Driven Optimization (WDO): A novel nature-inspired optimization algorithm and its application to electromagnetics},
  author={Bayraktar, Zikri and Komurcu, Muge and Werner, Douglas H},
  booktitle={2010 IEEE antennas and propagation society international symposium},
  pages={1--4},
  year={2010},
  organization={IEEE},
  url={https://doi.org/10.1109/APS.2010.5562213}
}



@article{kaveh2014colliding,
  title={Colliding bodies optimization: a novel meta-heuristic method},
  author={Kaveh, Ali and Mahdavi, Vahid Reza},
  journal={Computers \& Structures},
  volume={139},
  pages={18--27},
  year={2014},
  publisher={Elsevier},
  url = {https://doi.org/10.1016/j.compstruc.2014.04.005}
}


@article{shareef2015lightning,
  title={Lightning search algorithm},
  author={Shareef, Hussain and Ibrahim, Ahmad Asrul and Mutlag, Ammar Hussein},
  journal={Applied Soft Computing},
  volume={36},
  pages={315--333},
  year={2015},
  publisher={Elsevier},
  url={https://doi.org/10.1016/j.asoc.2015.07.028}
}

@article{kaveh2016water,
  title={Water evaporation optimization: a novel physically inspired optimization algorithm},
  author={Kaveh, A and Bakhshpoori, T},
  journal={Computers \& Structures},
  volume={167},
  pages={69--85},
  year={2016},
  publisher={Elsevier},
  url = {https://doi.org/10.1016/j.compstruc.2016.01.008}
}



@article{mirjalili2016multi,
  title={Multi-verse optimizer: a nature-inspired algorithm for global optimization},
  author={Mirjalili, Seyedali and Mirjalili, Seyed Mohammad and Hatamlou, Abdolreza},
  journal={Neural Computing and Applications},
  volume={27},
  number={2},
  pages={495--513},
  year={2016},
  publisher={Springer},
  url={https://doi.org/10.1007/s00521-015-1870-7}
}


@incollection{kaveh2017tug,
  title={Tug of war optimization},
  author={Kaveh, A},
  booktitle={Advances in Metaheuristic Algorithms for Optimal Design of Structures},
  pages={451--487},
  year={2017},
  publisher={Springer},
  url={https://doi.org/10.1007/978-3-319-46173-1_15}
}



@article{abedinpourshotorban2016electromagnetic,
  title={Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm},
  author={Abedinpourshotorban, Hosein and Shamsuddin, Siti Mariyam and Beheshti, Zahra and Jawawi, Dayang NA},
  journal={Swarm and Evolutionary Computation},
  volume={26},
  pages={8--22},
  year={2016},
  publisher={Elsevier},
  url={https://doi.org/10.1016/j.swevo.2015.07.002}
}



@article{kaveh2017new,
  title={A new meta-heuristic algorithm: vibrating particles system},
  author={Kaveh, A and Ghazaan, M Ilchi},
  journal={Scientia Iranica. Transaction A, Civil Engineering},
  volume={24},
  number={2},
  pages={551},
  year={2017},
  publisher={Sharif University of Technology},
  url={https://dx.doi.org/10.24200/sci.2017.2417}
}


@article{kaveh2017novel,
  title={A novel meta-heuristic optimization algorithm: thermal exchange optimization},
  author={Kaveh, A and Dadras, A},
  journal={Advances in Engineering Software},
  volume={110},
  pages={69--84},
  year={2017},
  publisher={Elsevier},
  url={https://doi.org/10.1016/j.advengsoft.2017.03.014}
}



@article{rahmanzadeh2019electron,
  title={Electron radar search algorithm: a novel developed meta-heuristic algorithm},
  author={Rahmanzadeh, Sajjad and Pishvaee, Mir Saman},
  journal={Soft Computing},
  pages={1--23},
  year={2019},
  publisher={Springer},
  url={https://doi.org/10.1007/s00500-019-04410-8}
}


@article{wei2019nuclear,
  title={Nuclear reaction optimization: A novel and powerful physics-based algorithm for global optimization},
  author={Wei, Zhenglei and Huang, Changqiang and Wang, Xiaofei and Han, Tong and Li, Yintong},
  journal={IEEE Access},
  volume={7},
  pages={66084--66109},
  year={2019},
  publisher={IEEE},
  url={https://doi.org/10.1109/ACCESS.2019.2918406}
}


@article{zhao2019atom,
  title={Atom search optimization and its application to solve a hydrogeologic parameter estimation problem},
  author={Zhao, Weiguo and Wang, Liying and Zhang, Zhenxing},
  journal={Knowledge-Based Systems},
  volume={163},
  pages={283--304},
  year={2019},
  publisher={Elsevier},
  url={https://doi.org/10.1016/j.knosys.2018.08.030}
}

@article{faramarzi2020equilibrium,
  title={Equilibrium optimizer: A novel optimization algorithm},
  author={Faramarzi, Afshin and Heidarinejad, Mohammad and Stephens, Brent and Mirjalili, Seyedali},
  journal={Knowledge-Based Systems},
  volume={191},
  pages={105190},
  year={2020},
  publisher={Elsevier},
  url={https://doi.org/10.1016/j.knosys.2019.105190}
}

@article{hashim2019henry,
  title={Henry gas solubility optimization: A novel physics-based algorithm},
  author={Hashim, Fatma A and Houssein, Essam H and Mabrouk, Mai S and Al-Atabany, Walid and Mirjalili, Seyedali},
  journal={Future Generation Computer Systems},
  volume={101},
  pages={646--667},
  year={2019},
  publisher={Elsevier},
  url={https://doi.org/10.1016/j.future.2019.07.015}
}

table_latex.tex

\begin{table}[]
\begin{tabular}{ccc}
\hline
\textbf{Year}         & \textbf{Swarm-inspired}                                                     & \textbf{Physics-inspired}                                                                           \\ \hline
\multirow{2}{*}{2010} & Bat Algorithm \cite{yang2010new}                           & Wind Driven Optimization \cite{bayraktar2010wind}                                  \\ \cline{2-3} 
                      & Firefly Algorithm \cite{yang2010firefly}                   &                                                                                                     \\ \hline
2011                  & Bumble Bees Mating Optimization \cite{marinakis2011bumble} &                                                                                                     \\ \hline
\multirow{2}{*}{2012} & Fruit-fly Optimization Algorithm \cite{pan2012new}         & Ray Optimization \cite{kaveh2012new}                                               \\ \cline{2-3} 
                      & Krill Herd Optimization \cite{gandomi2012krill}            & Charged System Search \cite{kaveh2010novel}                                        \\ \hline
\multirow{2}{*}{2013} & Bird Mating Optimization \cite{askarzadeh2013new}          & Black Hole Optimization \cite{hatamlou2013black}                                   \\ \cline{2-3} 
                      & Dolphin Echolocation  \cite{kaveh2013new}                  &                                                                                                     \\ \hline
\multirow{4}{*}{2014} & Chicken Swarm Optimization \cite{meng2014new}              & Colliding Bodies Optimization \cite{kaveh2014colliding}                            \\ \cline{2-3} 
                      & Wolf Pack Algorithm \cite{wu2014wolf}                      &                                                                                                     \\ \cline{2-3} 
                      & Grey Wolf Optimization \cite{mirjalili2014grey}            &                                                                                                     \\ \cline{2-3} 
                      & Spider Monkey Optimization \cite{bansal2014spider}         &                                                                                                     \\ \hline
\multirow{3}{*}{2015} & Moth-flame Optimization \cite{mirjalili2015moth}           & Lightning Search Algorithm \cite{shareef2015lightning}                             \\ \cline{2-3} 
                      & Ant Lion Optimization \cite{mirjalili2015ant}              &                                                                                                     \\ \cline{2-3} 
                      & Elephant Herding Optimization   \cite{wang2015elephant}    &                                                                                                     \\ \hline
\multirow{5}{*}{2016} & Shark Smell Optimization \cite{abedinia2016new}            & Water Evaporation Optimization \cite{kaveh2016water}                               \\ \cline{2-3} 
                      & Crow Search Algorithm \cite{askarzadeh2016novel}           & Multi-Verse Optimization \cite{mirjalili2016multi}                                 \\ \cline{2-3} 
                      & Whale Optimization \cite{mirjalili2016whale}               & Tug of War Optimization \cite{kaveh2017tug}                                        \\ \cline{2-3} 
                      & Bird Swarm Algorithm \cite{meng2016new}                    & Electromagnetic Field Optimization   \cite{abedinpourshotorban2016electromagnetic} \\ \cline{2-3} 
                      & Lion Optimization Algorithm \cite{yazdani2016lion}         &                                                                                                     \\ \hline
\multirow{3}{*}{2017} & Grasshopper Optimization \cite{saremi2017grasshopper}      & Vibrating Particles System \cite{kaveh2017new}                                     \\ \cline{2-3} 
                      & Salp Swarm Algorithm \cite{mirjalili2017salp}              & Thermal Exchange Optimization \cite{kaveh2017novel}                                \\ \cline{2-3} 
                      & Spotted Hyena Optimization \cite{dhiman2017spotted}        &                                                                                                     \\ \hline
\multirow{2}{*}{2018} & Lion Pride Optimization \cite{kaveh2018lion}               &                                                                                                     \\ \cline{2-3} 
                      & Coyote Optimization Algorithm \cite{pierezan2018coyote}    &                                                                                                     \\ \hline
\multirow{6}{*}{2019} & Seagull Optimization Algorithm \cite{dhiman2019seagull}    & Electron Radar Search Algorithm \cite{rahmanzadeh2019electron}                     \\ \cline{2-3} 
                      & Squirrel Search Algorithm \cite{jain2019novel}             & Atom Search Optimization \cite{zhao2019atom}                                       \\ \cline{2-3} 
                      & Pathfinder Algorithm \cite{yapici2019new}                  & Nuclear Reaction Optimization \cite{wei2019nuclear}                                \\ \cline{2-3} 
                      & Sea Lion Optimization \cite{Masadeh2019SeaLO}              & Equilibrium Optimization \cite{faramarzi2020equilibrium}                           \\ \cline{2-3} 
                      & Sailfish Optimization \cite{shadravan2019sailfish}         & Henry Gas Solubility Optimization \cite{hashim2019henry}                           \\ \cline{2-3} 
                      & Harris Hawks Optimization \cite{heidari2019harris}         &                                                                                                     \\ \hline
\multirow{4}{*}{2020} & Manta Ray Foraging Optimization \cite{zhao2020manta}       &                                                                                                     \\ \cline{2-3} 
                      & Chimp Optimization Algorithm \cite{khishe2020chimp}        &                                                                                                     \\ \cline{2-3} 
                      & Marine Predators Algorithm \cite{faramarzi2020marine}      &                                                                                                     \\ \cline{2-3} 
                      & Sparrow Search Algorithm \cite{xue2020novel}               &                                                                                                     \\ \hline
\end{tabular}
\end{table}