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Handbook of Heuristics
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Handbook of Heuristics

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Adaptive and Multi-Level Metaheuristics.- Biased Random-Key Genetic Programming.- Data Mining in Heuristics.- Deep Learning in Search Heuristics.- Evolution Strategies.- Evolutionary Algorithms.- Innovative Applications of Metaheuristics to Supervised Machine Learning.- Matheuristics by Examples.- Multi-start Methods.- Multiobjective Optimization.- Quantum-Inspired Heuristics.- Restart Strategies.- Simheuristics.- The Hybrid Metaheuristic CMSA.- Constraint-Based Local Search.- Guided Local Search.- Theory of Local Search.

Oktober 2025, 1892 Seiten, Englisch
Springer International Publishing
978-3-032-00384-3

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