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Titlebook: Handbook of Memetic Algorithms; Ferrante Neri,Carlos Cotta,Pablo Moscato Book 2012 Springer-Verlag Berlin Heidelberg 2012 Computational In

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發(fā)表于 2025-3-25 06:43:56 | 只看該作者
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發(fā)表于 2025-3-25 09:38:37 | 只看該作者
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發(fā)表于 2025-3-25 15:20:40 | 只看該作者
A Primer on Memetic Algorithmsvated within the generation cycle of the external framework, see [376]. The earliest MA implementation has been given in [621] in the context of the Travelling Salesman Problem (TSP) while an early systematic definition has been presented in [615]. The concept of meme is borrowed from philosophy and
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發(fā)表于 2025-3-25 18:55:09 | 只看該作者
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發(fā)表于 2025-3-25 19:59:14 | 只看該作者
Memetic Algorithms in Discrete Optimization to a particular criterion. There are several ways to describe a discrete optimization problem. In its most general form, it can be defined as a collection of problem instances, each being specified by a pair (.,.) [704], where . is the set of finite candidate configurations, defining the .; . is th
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發(fā)表于 2025-3-26 09:43:41 | 只看該作者
Diversity Management in Memetic Algorithmsimization. Diversity is a property of a group of individuals which indicates how much these individuals are alike. Clearly, a group composed of individuals similar to each other is said to have a low diversity whilst a group of individuals dissimilar to each other is said to have a high diversity. I
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發(fā)表于 2025-3-26 12:40:01 | 只看該作者
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發(fā)表于 2025-3-26 17:34:15 | 只看該作者
Memetic Algorithms and Complete Techniqueslems whose resolution would be otherwise infeasible by means of other non-heuristic approaches. Such alternative non-heuristic approaches are complete methods that –unlike heuristics– do guarantee that the deviation from optimality of the solution they will provide is somehow bounded (and as a parti
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