In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, tune, or select...

This is a chronological table of metaheuristic algorithms that only contains fundamental computational intelligence algorithms. Hybrid algorithms and...

computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger...

Search-based software engineering (SBSE) applies metaheuristic search techniques such as genetic algorithms, simulated annealing and tabu search to software...

Parallel metaheuristic is a class of techniques that are capable of reducing both the numerical effort[clarification needed] and the run time of a metaheuristic...

This is a chronologically ordered list of metaphor-based metaheuristics and swarm intelligence algorithms, sorted by decade of proposal. Simulated annealing...

is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm. An EA uses mechanisms inspired by biological...

Tabu search (TS) is a metaheuristic search method employing local search methods used for mathematical optimization. It was created by Fred W. Glover...

works on PSO has been published by Bonyadi and Michalewicz. PSO is a metaheuristic as it makes few or no assumptions about the problem being optimized...

routing problems, a significant research effort has been dedicated to metaheuristics such as Genetic algorithms, Tabu search, Simulated annealing and Adaptive...

EWG EU/ME, the EURO Working Group on Metaheuristics, formerly referred to as EU/ME – the metaheuristics community, is a working group the main purpose...

approximating the global optimum of a given function. Specifically, it is a metaheuristic to approximate global optimization in a large search space for an optimization...

benchmarking other algorithms or metaheuristics. Indeed, brute-force search can be viewed as the simplest metaheuristic. Brute force search should not be...

nature-inspired metaheuristics. This list includes algorithms published up to circa the year 2000. A large number of more recent metaphor-inspired metaheuristics have...

Adaptive dimensional search algorithms differ from nature-inspired metaheuristic techniques in the sense that they do not use any metaphor as an underlying...

greedy randomized adaptive search procedure (also known as GRASP) is a metaheuristic algorithm commonly applied to combinatorial optimization problems. GRASP...

the Greek word heuriskein, meaning "to find". Constructive heuristic Metaheuristic: Methods for controlling and tuning basic heuristic algorithms, usually...

Civilization Baltes, Paul B.; Staudinger, Ursula M. (2000). "Wisdom: A Metaheuristic (Pragmatic) to Orchestrate Mind and Virtue Toward Excellence". American...

and how they are extended into complete candidates. It is therefore a metaheuristic rather than a specific algorithm – although, unlike many other meta-heuristics...

colony optimization (ACO) Simulated annealing, a generic probabilistic metaheuristic Tabu search, an extension of local search capable of escaping from local...

methods. Generally, a metaheuristic is a stochastic algorithm tending to reach a global optimum. There are many metaheuristics, from a simple local search...

stochastic search. This category includes a great variety of general metaheuristic methods, such as simulated annealing, tabu search, A-teams, and genetic...

discrete items; therefore, in principle, any sort of search algorithm or metaheuristic can be used to solve them. Widely applicable approaches include branch-and-bound...

a family of population-based trial and error problem solvers with a metaheuristic or stochastic optimization character. In evolutionary computation, an...

In mathematical optimization, the firefly algorithm is a metaheuristic proposed by Xin-She Yang and inspired by the flashing behavior of fireflies. In...

infinite-dimensional space, such as a space of functions. Heuristics and metaheuristics make few or no assumptions about the problem being optimized. Usually...

algorithms family, in swarm intelligence methods, and it constitutes some metaheuristic optimizations. Initially proposed by Marco Dorigo in 1992 in his PhD...

Metaheuristics Evolutionary algorithm Hill climbing Local search Parallel metaheuristics Simulated annealing Spiral optimization algorithm Tabu search...

proof that it is both always fast and always produces a good result. Metaheuristic approaches are often used. One example of a heuristic algorithm is a...

than the house of quality relevant to product development, and called metaheuristic methods "a promising approach for solving complicated problems of FQFD...