Memetic algorithms and memetic computing optimization: A literature review

F Neri, C Cotta - Swarm and Evolutionary Computation, 2012 - Elsevier
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 …

A tutorial for competent memetic algorithms: model, taxonomy, and design issues

N Krasnogor, J Smith - IEEE transactions on Evolutionary …, 2005 - ieeexplore.ieee.org
The combination of evolutionary algorithms with local search was named" memetic
algorithms"(MAs)(Moscato, 1989). These methods are inspired by models of natural systems …

Toward adaptive knowledge transfer in multifactorial evolutionary computation

L Zhou, L Feng, KC Tan, J Zhong, Z Zhu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
A multifactorial evolutionary algorithm (MFEA) is a recently proposed algorithm for
evolutionary multitasking, which optimizes multiple optimization tasks simultaneously. With …

[图书][B] An introduction to genetic algorithms

M Mitchell - 1998 - books.google.com
Genetic algorithms have been used in science and engineering as adaptive algorithms for
solving practical problems and as computational models of natural evolutionary systems …

Evolutionary programming techniques for economic load dispatch

N Sinha, R Chakrabarti… - IEEE Transactions on …, 2003 - ieeexplore.ieee.org
Evolutionary programming has emerged as a useful optimization tool for handling nonlinear
programming problems. Various modifications to the basic method have been proposed with …

[图书][B] An introduction to genetic algorithms for scientists and engineers

DA Coley - 1999 - books.google.com
This invaluable book has been designed to be useful to most practising scientists and
engineers, whatever their field and however rusty their mathematics and programming might …

[图书][B] Genetic algorithms: principles and perspectives: a guide to GA theory

C Reeves, JE Rowe - 2002 - books.google.com
Genetic Algorithms (GAs) have become a highly effective tool for solving hard optimization
problems. As their popularity has increased, the number of GA applications has grown in …

[图书][B] Niching methods for genetic algorithms

SW Mahfoud - 1995 - search.proquest.com
Niching methods extend genetic algorithms to domains that require the location and
maintenance of multiple solutions. Such domains include classification and machine …

[图书][B] Handbook of memetic algorithms

F Neri, C Cotta, P Moscato - 2011 - books.google.com
Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

[图书][B] Hyper-heuristics: theory and applications

N Pillay, R Qu - 2018 - Springer
Hyper-heuristics is a fairly recent technique that aims at effectively solving various real-world
optimization problems. This is the first book on hyper-heuristics, and aims to bring together …