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

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

For algorithms published since that time, see List of metaphor-based metaheuristics. Metaheuristics lack a confidence in a solution. When appropriate parameters...

genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)...

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

(1 April 2017). "Metaheuristic design of feedforward neural networks: A review of two decades of research". Engineering Applications of Artificial Intelligence...

important for understanding VNS, such as: Handbook of Metaheuristics, 2010, Handbook of Metaheuristics, 2003 and Search methodologies, 2005. Earlier work...

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

sides Euler diagram of terminology of the British Isles Euler diagram categorizing different types of metaheuristics Euler Diagram displaying the relationship...

distributed hash table. The activity selection problem is characteristic of this class of problems, where the goal is to pick the maximum number of activities...

calculate optimal task distributions using metaheuristic methods. Another feature of the tasks critical for the design of a load balancing algorithm is their...

conceptual design synthesis and structural optimization. OptQuest – metaheuristics-based optimization plugin for simulation-based optimization in conjunction...

value in an unordered table. When it is applicable, however, backtracking is often much faster than brute-force enumeration of all complete candidates...

might have collated earlier in the table had they been listed separately (in this example, "a-" and "ac-"). Lists of Greek and Latin roots in English beginning...

deterministic problems using probabilistic metaheuristics (see simulated annealing). An early variant of the Monte Carlo method was devised to solve...

three tables show examples of the result of this computation for finding the square root of 612, with the iteration initialized at the values of 1, 10...

maximum of a real function Gradient descent Grid Search Harmony search (HS): a metaheuristic algorithm mimicking the improvisation process of musicians...

and branch and bound. Unlike general metaheuristics, which at best work only in a probabilistic sense, many of these tree-search methods are guaranteed...

Defining Feature of AI-Completeness . In Artificial Intelligence, Evolutionary Computation and Metaheuristics (AIECM) --In the footsteps of Alan Turing. Xin-She...

a family of population-based trial-and-error problem-solvers with a metaheuristic or stochastic optimization character. executable Causes a computer "to...

retrieved 2025-07-08 Vaiyapuri, Thavavel (2025-08-01). "An Optuna-Based Metaheuristic Optimization Framework for Biomedical Image Analysis". Engineering,...

Massachusetts Institute of Technology. Gonzalez, Teofilo F. (23 May 2018). Handbook of approximation algorithms and metaheuristics. Volume 2 Contemporary...

and add its solution to the table. Bottom-up approach: Once we formulate the solution to a problem recursively as in terms of its sub-problems, we can try...

strategies and trends in GPU computing". Journal of Parallel and Distributed Computing. Metaheuristics on GPUs. 73 (1): 4–13. doi:10.1016/j.jpdc.2012.04...

user's high-level model and the solver's input/output format. Below are two tables. The first shows shows modelling tools (such as CVXPY and JuMP.jl) and the...

memoization merge algorithm merge sort Merkle tree meromorphic function metaheuristic metaphone midrange Miller–Rabin primality test min-heap property minimal...

incomplete or imperfect information or limited computation capacity. Metaheuristics sample a set of solutions which is too large to be completely sampled. model...

Developing Learners. Merrill. pp. 285–286. Luke, S. (2009). Essentials of metaheuristics Te Chiang Hu: Combinatorial Algorithms (2002, book). Potter, Ned (26...

deficient. Because of this, many heuristics and metaheuristics have been developed through the time. Contrary to common sense, one of the most practical...

S2CID 30180206. Ferreira, J. Soeiro (June 2013). "Multimethodology in metaheuristics". Journal of the Operational Research Society. 64 (6): 873–883. doi:10.1057/jors...