Evolutionary computation: An overview

T Back, HP Schwefel - Proceedings of IEEE International …, 1996 - ieeexplore.ieee.org
We present an overview of the most important representatives of algorithms gleaned from
natural evolution, so-called evolutionary algorithms. Evolution strategies, evolutionary …

Network random keys—a tree representation scheme for genetic and evolutionary algorithms

F Rothlauf, DE Goldberg, A Heinzl - Evolutionary Computation, 2002 - ieeexplore.ieee.org
When using genetic and evolutionary algorithms for network design, choosing a good
representation scheme for the construction of the genotype is important for algorithm …

[图书][B] The design of innovation: Lessons from and for competent genetic algorithms

DE Goldberg - 2002 - Springer
" It is well known that" building blocks", whether they be the atoms of chemistry, the words of
a language, or the modules of a computer, play a key role in our understanding of the world …

[图书][B] Representations for genetic and evolutionary algorithms

F Rothlauf, F Rothlauf - 2006 - Springer
2 Representations for Genetic and Evolutionary Algorithms Page 1 2 Representations for Genetic
and Evolutionary Algorithms In this second chapter, we present an introduction into the field of …

[图书][B] Design of modern heuristics: principles and application

F Rothlauf - 2011 - Springer
Most textbooks on modern heuristics provide the reader with detailed descriptions of the
functionality of single examples like genetic algorithms, genetic programming, tabu search …

Metaheuristics in structural optimization and discussions on harmony search algorithm

MP Saka, O Hasançebi, ZW Geem - Swarm and Evolutionary Computation, 2016 - Elsevier
Metaheuristic algorithms have provided efficient tools to engineering designers by which it
became possible to determine the optimum solutions of engineering design optimization …

[PDF][PDF] A parameter-less genetic algorithm.

GR Harik, FG Lobo - GECCO, 1999 - academia.edu
From the user's point of view, setting the parameters of a genetic algorithm (GA) is far from a
trivial task. Moreover, the user is typically not interested in population sizes, crossover …

An evolutionary approach to automatic synthesis of high-performance analog integrated circuits

G Alpaydin, S Balkir, G Dundar - IEEE Transactions on …, 2003 - ieeexplore.ieee.org
This paper presents an analog integrated circuit synthesis system based on an evolutionary
approach. The system contains several novel features. One of these is the high-performance …

A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples

O Cordón, F Herrera - International Journal of Approximate Reasoning, 1997 - Elsevier
Nowadays fuzzy logic controllers have been successfully applied to a wide range of
engineering control processes. Several tasks have to be performed in order to design an …

[图书][B] Rule-based evolutionary online learning systems

MV Butz - 2006 - Springer
Rule-based evolutionary online learning systems, often referred to as Michiganstyle learning
classifier systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland …