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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. Metaheuristic: Compared to optimization algorithms and iterative methods, metaheuristics do not guarantee that a globally optimal solution can be found on some class of problems. Many metaheuristics implement some form of stochastic optimization, so that the solution found is dependent on ... (Optimization technique) [92%] 2023-12-12 [Metaheuristics]
3. Metaheurística: Una metaheurística es un método heurístico para resolver un tipo de problema computacional general, usando los parámetros dados por el usuario sobre unos procedimientos genéricos y abstractos de una manera que se espera eficiente. Normalmente, estos procedimientos son heurísticos. [85%] 2024-03-19
4. Metaheuristic Optimization: Metaheuristic optimization deals with optimization problems using metaheuristic algorithms. Optimization is essentially everywhere, from engineering design to economics and from holiday planning to Internet routing. [65%] 2021-12-24 [Applied Mathematics] [Optimization]...
5. 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]
6. 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]