on September 12, 2019
Stochastic local search (SLS) algorithms are among the most powerful techniques for solving computationally hard problems in many areas of computing science, operations research and engineering. SLS techniques range from rather simple constructive and iterative improvement algorithms to general-purpose SLS methods, also widely known as metaheuristics, such as ant colony optimization, evolutionary computation, iterated local search, memetic algorithms, simulated annealing, tabu search and variable neighbourhood search…
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