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Titlebook: Agent-Based Evolutionary Search; Ruhul Amin Sarker,Tapabrata Ray Book 2010 Springer-Verlag Berlin Heidelberg 2010 agents.algorithm.algorit

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發(fā)表于 2025-3-30 08:52:40 | 只看該作者
Divide and Conquer in Coevolution: A Difficult Balancing Act,EAs). CCEAs attempt to solve the optimization problems by decomposing them into subcomponents referred to as .. CCEAs have been deemed attractive for certain complex problems (with high number of decision variables), as they can achieve better fitness values than traditional EAs by employing “divide
52#
發(fā)表于 2025-3-30 15:28:59 | 只看該作者
Complex Emergent Behaviour from Evolutionary Spatial Animat Agents,roscopic animat-based model in which autonomous agents are microscopically controlled by a rule-set that can be evolved using suitable operators. Our system can support over a million animats co-existing over many generations and has already been used to explore several collective phenomena includin
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