Titlebook: Genetic and Evolutionary Computation — GECCO 2004; Genetic and Evolutio Kalyanmoy Deb Conference proceedings 2004 Springer-Verlag Berlin He

backdrop

0302-9743 g; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering..978-3-540-22344-3978-3-540-24854-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

結(jié)構(gòu)

Die Entdeckung der irrationalen Zahlenuces an almost perfect convergence and spread of solutions towards and along the Pareto-optimal front respectively, outperforming one of the state-of-art multiobjective EA algorithms, NSGA II, in all the performance measures used.

開(kāi)始發(fā)作

Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness uces an almost perfect convergence and spread of solutions towards and along the Pareto-optimal front respectively, outperforming one of the state-of-art multiobjective EA algorithms, NSGA II, in all the performance measures used.

物質(zhì)

有特色

BULLY

An Interactive Artificial Ant Approach to Non-photorealistic Rendering a colony of artificial ants scan the source image locally, following strong edges or wandering around flat zones, and draw marks on the canvas depending on their discoveries. Among a variety of obtained effects, two are painterly rendering and pencil sketching.

GRUEL

Absenteeism

秘密會(huì)議

Finding Maximum Cliques with Distributed Ants only local knowledge of the graph. Working together the ants induce a candidate set of vertices from which a clique can be constructed. The algorithm was designed so that it can be easily implemented in a distributed system. One such implementation is also described in the paper. For 22 of the 30 g

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