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Jul 24, 2023 · Our proposed solution is to combine an evolutionary algorithm search with human-guided evaluation. The approach uses simulation-based fitness ...
May 23, 2024 · The proposed ERTH algorithm has better convergence speed and stability in most cases of small and large-scale tasks and performs better in ...
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Interactive Evolutionary Computation for Strategy Discovery in Multi-Phase Operations. GECCO Companion 2023: 743-746. [+][–]. 2010 – 2019. FAQ. see FAQ. What is ...
Interactive Evolutionary Computation for Strategy Discovery in Multi-Phase Operations. M Masek, K Luke, J Snell, D Wheat, CP Lam. Proceedings of the Companion ...
An interactive approach is proposed to discover software architectures, in which both quantitative and qualitative criteria are applied to guide a multi- ...
Missing: Operations. | Show results with:Operations.
Jan 8, 2024 · An interactive approach is proposed to discover software architectures, in which both quantitative and qualitative criteria are applied to guide ...
Oct 22, 2024 · The article illustrates the use of evolutionary computational techniques to facilitate and automate important aspects of discovery in ...
Interactive Evolutionary Computation for Strategy Discovery in Multi-Phase OperationsMartin Masek, Luke Kelly, Jacob Snell, Daniel Wheat, Chiou Peng Lam ...
Abstract. The use of evolutionary computation is significant for the development and optimisation of strategies for dynamic and uncertain situations.
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Mar 18, 2022 · Full title: Evolutionary Computation: An Emerging Framework for Practical Single and Multi-Criterion Optimization and Decision-Making Many ...
Missing: Interactive Strategy Discovery Phase