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1. Metaheuristics: A metaheuristic is a high-level problem-independent algorithmic framework that provides a set of guidelines or strategies to develop heuristic optimization algorithms (Sörensen and Glover, 2013). Notable examples of metaheuristics include genetic/evolutionary algorithms, tabu search, simulated annealing, variable ... [100%] 2021-12-21 [Optimization] [Computer Science]...
2. Table of metaheuristics: This is a chronological table of metaheuristic algorithms that only contains fundamental algorithms. Hybrid algorithms and multi-objective algorithms are not listed in the table below. [57%] 2023-12-11 [Metaheuristics]
3. List of metaphor-based metaheuristics: This is a chronologically ordered list of metaphor-based metaheuristics and swarm intelligence algorithms, sorted by decade of proposal. Simulated annealing is a probabilistic algorithm inspired by annealing, a heat treatment method in metallurgy. [44%] 2023-12-12 [Nature-inspired metaheuristics]
4. List of metaphor-based metaheuristics: This is a chronologically ordered list of metaphor-based metaheuristics and swarm intelligence algorithms, sorted by decade of proposal. Simulated annealing is a probabilistic algorithm inspired by annealing, a heat treatment method in metallurgy. (none) [44%] 2024-12-28 [Metaheuristics]