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Titlebook: Benchmarks and Hybrid Algorithms in Optimization and Applications; Xin-She Yang Book 2023 The Editor(s) (if applicable) and The Author(s),

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發(fā)表于 2025-3-26 21:18:35 | 只看該作者
Benchmarks and Hybrid Algorithms in Optimization and Applications
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發(fā)表于 2025-3-27 03:05:54 | 只看該作者
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發(fā)表于 2025-3-27 06:36:46 | 只看該作者
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發(fā)表于 2025-3-27 10:42:34 | 只看該作者
,QOPTLib: A Quantum Computing Oriented Benchmark for?Combinatorial Optimization Problems,ces equally distributed over four well-known problems: Traveling Salesman Problem, Vehicle Routing Problem, one-dimensional Bin Packing Problem, and the Maximum Cut Problem. The sizes of the instances in . not only correspond to computationally addressable sizes, but also to the maximum length appro
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發(fā)表于 2025-3-27 17:40:22 | 只看該作者
Benchmarking for Discrete Cuckoo Search: Three Case Studies,oducible and comparable. In this work, we will resume three resolution case studies of Discrete Cuckoo Search (DCS) with the aim of providing an algorithm benchmarking. The resolution case studies are three Combinatorial Optimization Problems (COPs): Quadratic Assignment (QAP), Travelling Salesman (
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發(fā)表于 2025-3-27 21:29:32 | 只看該作者
Metaheuristics for Feature Selection: A Comprehensive Comparison Using Opytimizer, challenges and constraints, such as redundant and irrelevant information, which increases the computational burden and usually decreases the learning efficiency and effectiveness. In this scenario, feature selection approaches are suitable for data preprocessing and optimization, particularly the o
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