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

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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
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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.
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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.
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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.
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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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