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 …

Abstract Lucasius, CB and Kateman, G., 1993. Understanding and using genetic algorithms.
Part 1. Concepts, properties and contexts. Chemometrics and Intelligent Laboratory …

Recently, several metaheuristic optimization approaches have been developed for solving
many complex problems in various areas. Most of these optimization algorithms are inspired …

Genetic algorithms are founded upon the principle of evolution, ie, survival of the fittest.
Hence evolution programming techniques, based on genetic algorithms, are applicable to …

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

Rapid developments in the field of genetic algorithms along with the popularity of the first
edition precipitated this completely revised, thoroughly updated second edition of The …

The generic denomination of 'Memetic Algorithms'(MAs) is used to encompass a broad class
of metaheuristics (ie, general purpose methods aimed to guide an underlying heuristic). The …

Evolutionary robotics (ER) aims at automatically designing robots or controllers of robots
without having to describe their inner workings. To reach this goal, ER researchers primarily …

The size of the population can be critical in many applications of genetic algorithms. If the
population size is too small, the genetic algorithm may converge too quickly; if it is too large …

Local governments have made extensive efforts to mitigate urban overheating, cool
streetscapes and cities, and protect vulnerable people. However, there is uncertainty about …