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In computer science, evolutionary computation is a family of algorithms for global optimization inspired by biological evolution, and the subfield of artificial intelligence and soft computing studying these algorithms. In technical terms, they are a family of population-based trial and error problem solvers with a metaheuristic or stochastic optimization character.
In computational science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. It solves a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formula over the particle's position and velocity. Each particle's movement is influenced by its local best known position, but is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.
The IEEE Congress on Evolutionary Computation is one of the largest conferences within evolutionary computation (EC), the other conferences of similar importance being Genetic and Evolutionary Computation Conference (GECCO), Parallel Problem Solving from Nature (PPSN) and EvoStar.
James Kennedy is an American social psychologist, best known as an originator and researcher of particle swarm optimization. The first papers on the topic, by Kennedy and Russell C. Eberhart, were presented in 1995; since then tens of thousands of papers have been published on particle swarms. The Academic Press / Morgan Kaufmann book, Swarm Intelligence, by Kennedy and Eberhart with Yuhui Shi, was published in 2001.
Russell C. Eberhart, an American electrical engineer, best known as the co-developer of particle swarm optimization concept. He is professor of Electrical and Computer Engineering and adjunct professor of Biomedical Engineering at the Purdue School of Engineering and Technology, Indiana University Purdue University Indianapolis (IUPUI). He is a Fellow of the IEEE and a Fellow of the American Institute for Medical and Biological Engineering.
In numerical optimization, meta-optimization is the use of one optimization method to tune another optimization method. Meta-optimization is reported to have been used as early as in the late 1970s by Mercer and Sampson for finding optimal parameter settings of a genetic algorithm.
Enrique Alba is a professor of computer science at the University of Málaga, Spain.
Multi-swarm optimization is a variant of particle swarm optimization (PSO) based on the use of multiple sub-swarms instead of one (standard) swarm. The general approach in multi-swarm optimization is that each sub-swarm focuses on a specific region while a specific diversification method decides where and when to launch the sub-swarms. The multi-swarm framework is especially fitted for the optimization on multi-modal problems, where multiple (local) optima exist.
The Genetic and Evolutionary Computation Conference (GECCO) is the premier conference in the area of genetic and evolutionary computation. GECCO has been held every year since 1999, when it was first established as a recombination of the International Conference on Genetic Algorithms (ICGA) and the Annual Genetic Programming Conference (GP).
Saman Halgamuge was educated in Germany and Sri Lanka and he is currently a Professor of University of Melbourne, Australia. He is an elected Fellow of Institute of Electrical and Electronics Engineers, USA. He is a highly cited expert in his field and listed as one of the top 2% cited experts for AI and Image Processing in the Stanford University Database published in 2020. His most-cited paper being Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients, with over 3300 citations, according to GoogleScholar. He is a Distinguished Speaker/Lecturer on Computational Intelligence appointed by IEEE. He has supervised 45 PhD scholars to completion and delivered over 50 keynotes at International and national conferences.
Ponnuthurai Nagaratnam Suganthan is a computer science academic from KINDI Center for Computing Research, Qatar University. He was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2015 for "contributions to optimization using evolutionary and swarm algorithms".
Yaochu Jin was born in Wujiang, Jiangsu Province, China in 1966. He received the B.Sc., M.Sc., and Ph.D. degrees from Zhejiang University, Hangzhou, China, in 1988, 1991, and 1996, respectively, and the Dr.-Ing. degree from Ruhr University Bochum, Germany, in 2001.
Professor Emma Hart, FRSE is an English computer scientist known for her work in artificial immune systems (AIS), evolutionary computation and optimisation. She is a professor of computational intelligence at Edinburgh Napier University, editor-in-chief of the Journal of Evolutionary Computation, and D. Coordinator of the Future & Emerging Technologies (FET) Proactive Initiative, Fundamentals of Collective Adaptive Systems.
The brain storm optimization algorithm is a heuristic algorithm that focuses on solving multi-modal problems, such as radio antennas design worked on by Yahya Rahmat-Samii, inspired by the brainstorming process, proposed by Dr. Yuhui Shi.
Carlos A. Coello Coello is a Mexican computer scientist, Professor at the UNSW School of Engineering and Information Technology, and researcher at the CINVESTAV. His paper "Evolutionary algorithms for solving multi-objective problems" has been cited over 7,800 times. He won the IEEE Kiyo Tomiyasu Award in 2013.
This is a chronological table of metaheuristic algorithms that only contains fundamental algorithms. Hybrid algorithms and multi-objective algorithms are not listed in the table below.
Douglas Henry Werner is an American scientist and engineer. He holds the John L. and Genevieve H. McCain Chair Professorship in the Penn State Department of Electrical Engineering and is the director of the Penn State University Computational Electromagnetics and Antennas Research Laboratory. Werner holds 20 patents and has over 1090 publications. He is the author/co-author of 8 books. According to Google Scholar, his h-index is 79 with more than 26,600 citations. He is internationally recognized for his expertise in electromagnetics, antenna design, optical metamaterials and metamaterial-enabled devices as well as for the development/application of inverse-design techniques.
Maurice Clerc is a French mathematician.
References
- ↑ "2016 elevated fellow" (PDF). IEEE Fellows Directory.
- ↑ Zhang, Geng; Shi, Yuhui; Steed Huang, Jun (2019). "Cooperative Optimization Algorithm for the 100-Digit Challenge". 2019 IEEE Congress on Evolutionary Computation (CEC). 2019 IEEE Congress on Evolutionary Computation. pp. 376–380. doi:10.1109/CEC.2019.8790272. ISBN 978-1-7281-2153-6. S2CID 199509053.
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