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In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, tune, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem or a machine learning problem, especially with incomplete or imperfect information or limited computation capacity.
The ant colony optimization algorithm is a probabilistic technique for solving computational problems that can be reduced to finding good paths through graphs.Initially proposed by Marco Dorigo in 1992 in his PhD thesis, [1] [2] the first algorithm aimed to search for an optimal path in a graph based on the behavior of ants seeking a path between their colony and a source of food.
Name Abbreviation Main category Subcategory Year published Ref. Simulated Annealing: SA Trajectory-based - 1983 [1]Tabu Search: TS Trajectory-based
A local search heuristic is performed through choosing an initial solution x, discovering a direction of descent from x, within a neighborhood N(x), and proceeding to the minimum of f(x) within N(x) in the same direction. If there is no direction of descent, the heuristic stops; otherwise, it is iterated.
The runner-root algorithm (RRA) is a meta-heuristic optimization algorithm for solving unimodal and multimodal problems inspired by the runners and roots of plants in nature. Intelligent water drops algorithm (IWD) which mimics the behavior of natural water drops to solve optimization problems
A heuristic device is used when an entity X exists to enable understanding of, or knowledge concerning, some other entity Y. A good example is a model that, as it is never identical with what it models , is a heuristic device to enable understanding of what it models.
Due to the nature of research, there are constantly new metaheuristics. Below is a list of metaheuristics: 1952: Robbins and Monro work on stochastic optimization methods.
The word tabu comes from the Tongan word to indicate things that cannot be touched because they are sacred. [4]Tabu search is a metaheuristic algorithm that can be used for solving combinatorial optimization problems (problems where an optimal ordering and selection of options is desired).