Memetic Algorithms for Continuous Optimisation Based on Local Search Chains
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains is a scholarly work by Carlos García-Martínez and Francisco Herrera, published in 2010 in ''Evolutionary Computation''. The main subjects of the publication include beam search, swarm intelligence, genetic programming, local optimum, search algorithm, Guided Local Search, computer science, exploit, evolutionary algorithm, multi-objective optimization, mathematical optimization, local search, memetic algorithm, mathematics, and algorithm. Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex continuous optimisation problems.