When using genetic and evolutionary algorithms for network design, choosing a good representation scheme for the construction of the genotype is important for algorithm …
" 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 …
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 …
Most textbooks on modern heuristics provide the reader with detailed descriptions of the functionality of single examples like genetic algorithms, genetic programming, tabu search …
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 …
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 …
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 …
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 …
Rule-based evolutionary online learning systems, often referred to as Michiganstyle learning classifier systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland …