crossover operator / deterministic crossover operator / tiagent systems / feasible search space / potential solution / local search / neural networks / search strategy / learning classifier systems / data mining / non-hierarchical network / search step size / intelligent decision-making systems / scatter search procedures / mixed products / variable length genetic algorithms / neural network / probabilistic algorithms / computer software / heuristic algorithms / local search algorithms / compromise solution / search techniques / data mining problems / computing / mobile radio networks / communication network / chemical analysis / intelligent agent-based systems / genetic search / evolved using variable length genetic algorithms / /
Organization
Bus Drivers’ Service / /
Person
Manuel Laguna / Hitoshi Iba / Claus Hillermeier / Diana F. Gordon-Spears / Xin Yao / M. W. Mak / Jens Lienig / Trevor D. Collins / Erwin Pesch / David Fogel / Terano Inada / Yong Liu / Martin Schmidt / Hartmut Schmeck / C. Siu Evolving Analog Circuits / Luca Lanzi / Manisha Mundhe Exploring / Shigenobu Kobayashi Designing Evolutionary Algorithms / Susumu Adachi / Emma Hart / Gordon-Spears A Uni / Branke Schmeck / John Karro / Sandip Debnath / David Corne / Ashish Ghosh / Ashish Ghosh Shigeyoshi Tsutsui / Terence C. Fogarty / Rafael Mart / Hajime Kita / Kim W. C. Ku / Dirk Wiesmann Multiparent / David E. Goldberg Effects / Masanori Inada / Sachio Kizu On / W. C. Siu Evolving Analog Circuits / Alex Freitas / /
Position
bus driver / Nearly Expert Checkers Player / Cao / /
Preface The term evolutionary computing refers to the study of the foundations and applications of certain heuristic techniques based on the principles of natural evolution; thus the aim of designing evolutionary algori