Dec 28, 2014 · Hybrid algorithms are two or more algorithms that run together and complement each other to produce a profitable synergy from their integration ...

Jan 29, 2015 · Hybrid algorithms play a prominent role in improving the search capa-bility of algorithms. Hybridization aims to combine the advantages of ...

This chapter surveys recent advances in the area of hybridizing different algorithms and some crucial recommendations are suggested for further development ...

Hybrid metaheuristic algorithms: past, present, and future. in: Recent Advances in Swarm Intelligence and Evolutionary Computation Springer.

This chapter surveys recent advances in the area of hybridizing different algorithms. Based on this survey, some crucial recommendations are suggested for ...

Hybrid Metaheuristic Algorithms: Past, Present, and Future. Chapter © 2015. A Meta-Genetic Algorithm for Hybridizing Metaheuristics. Chapter © 2017. Keywords.

Oct 9, 2024 · Hybrid metaheuristic algorithms represent a kind of symbiosis of two or more metaheuristic algorithms to improve the search process and obtain better results.

The hybridization of popular metaheuristics like particle swarm optimization, evolutionary algorithms, simulated an- nealing, variable neighborhood search, and ...

We propose a novel hybrid algorithm that integrates the backtracking search optimization algorithm (BSA) with the differential evolution (DE) algorithm.

Oct 31, 2020 · This review will help the new and demanding researchers to provide the wider vision of genetic algorithms.