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Evolutionary Computation as a Form of Organization
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由 A Kosoruko 著作被引用 24 次 — This paper explores the use of genetic algorithms as models to in- uence the design of organization. In par- ticular, we outline the concept of evolution- ary ...
Evolutionary computation as a form of organization
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由 A Kosorukoff 著作2002被引用 24 次 — This paper explores the use of genetic algorithms as models to in- fluence the design of organization. In par- ticular, we outline the concept of evolution- ary ...
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Evolutionary computation as a form of organization | Proceedings of ...
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This paper explores the use of genetic algorithms as models to influence the design of organization. In particular, we outline the concept of evolutionary ...
Evolutionary Computation As A Form Of Organization.
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Alexander Kosorukoff, David E. Goldberg: Evolutionary Computation As A Form Of Organization. GECCO 2002: 965-972. manage site settings.
Evolutionary Computation as a Form of Organization
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Human genetic based algorithms pave the way for evolutionary self organizing architectures. These architectures can be social, political, economic, or physical.
Evolutionary computation
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Evolutionary computation from computer science is a family of algorithms for global optimization inspired by biological evolution.
Evolution as computation: Integrating self-organization with ...
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2024年10月22日 — Both evolution and self-organization can be generalized as computational processes that can be applied to human social phenomena. Under this ...
Evolutionary Computation - an overview
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Evolutionary computation is a computational intelligence model that mimics biological evolution processes using algorithms like genetic algorithm, ...
A Self-Organizing Multiobjective Evolutionary Algorithm
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由 H Zhang 著作2016被引用 157 次 — Based on this property, this paper proposes a self-organizing multiobjective evolutionary algorithm. At each generation, a self-organizing ...
Evolutionary Computation: Theories, Techniques, and ...
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由 VA Cicirello 著作2024被引用 2 次 — Evolutionary computation [2] encompasses a variety of problem-solving methodologies that take inspiration from natural evolutionary and genetic processes.
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