Exploration and exploitation in evolutionary algorithms: A survey
“Exploration and exploitation are the two cornerstones of problem solving by search.” For
more than a decade, Eiben and Schippers' advocacy for balancing between these two …
more than a decade, Eiben and Schippers' advocacy for balancing between these two …
Memetic algorithms and memetic computing optimization: A literature review
Memetic computing is a subject in computer science which considers complex structures
such as the combination of simple agents and memes, whose evolutionary interactions lead …
such as the combination of simple agents and memes, whose evolutionary interactions lead …
Comprehensive learning particle swarm optimization algorithm with local search for multimodal functions
A comprehensive learning particle swarm optimizer (CLPSO) embedded with local search
(LS) is proposed to pursue higher optimization performance by taking the advantages of …
(LS) is proposed to pursue higher optimization performance by taking the advantages of …
[图书][B] Metaheuristics: from design to implementation
EG Talbi - 2009 - books.google.com
A unified view of metaheuristics This book provides a complete background on
metaheuristics and shows readers how to design and implement efficient algorithms to solve …
metaheuristics and shows readers how to design and implement efficient algorithms to solve …
[图书][B] Introduction to evolutionary computing
This is the second edition of our 2003 book. It is primarily a book for lecturers and graduate
and undergraduate students. To this group the book offers a thorough introduction to …
and undergraduate students. To this group the book offers a thorough introduction to …
[图书][B] Evolutionary algorithms for solving multi-objective problems
CAC Coello - 2007 - Springer
Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …
solution has been a challenge to researchers for a long time. Despite the considerable …
Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function
GM Morris, DS Goodsell, RS Halliday… - Journal of …, 1998 - Wiley Online Library
A novel and robust automated docking method that predicts the bound conformations of
flexible ligands to macromolecular targets has been developed and tested, in combination …
flexible ligands to macromolecular targets has been developed and tested, in combination …
[图书][B] Genetic algorithms and engineering optimization
A comprehensive guide to a powerful new analytical tool by two of its foremost innovators
The past decade has witnessed many exciting advances in the use of genetic algorithms …
The past decade has witnessed many exciting advances in the use of genetic algorithms …
A multi-facet survey on memetic computation
Memetic computation is a paradigm that uses the notion of meme (s) as units of information
encoded in computational representations for the purpose of problem-solving. It covers a …
encoded in computational representations for the purpose of problem-solving. It covers a …
An introduction and survey of estimation of distribution algorithms
M Hauschild, M Pelikan - Swarm and evolutionary computation, 2011 - Elsevier
Estimation of distribution algorithms (EDAs) are stochastic optimization techniques that
explore the space of potential solutions by building and sampling explicit probabilistic …
explore the space of potential solutions by building and sampling explicit probabilistic …