A recombination-based hybridization of particle swarm optimization and artificial bee colony algorithm for continuous optimization problems
This paper presents a hybridization of particle swarm optimization (PSO) and artificial bee
colony (ABC) approaches, based on recombination procedure. The PSO and ABC are …
colony (ABC) approaches, based on recombination procedure. The PSO and ABC are …
[引用][C] Cheetah chase algorithm (CCA): a nature-inspired metaheuristic algorithm
M Goudhaman - International Journal of Engineering & Technology, 2018
Novel multi-swarm approach for balancing exploration and exploitation in particle swarm optimization
Several metaheuristic algorithms and improvements to the existing ones have been
presented over the years. Most of these algorithms were inspired either by nature or the …
presented over the years. Most of these algorithms were inspired either by nature or the …
A survey: Particle swarm optimization based algorithms to solve premature convergence problem
B Nakisa, MZ Ahmad Nazri, MN Rastgoo… - Journal of Computer …, 2014 - eprints.qut.edu.au
Particle Swarm Optimization (PSO) is a biologically inspired computational search and
optimization method based on the social behaviors of birds flocking or fish schooling …
optimization method based on the social behaviors of birds flocking or fish schooling …
A new initialization approach in particle swarm optimization for global optimization problems
Particle swarm optimization (PSO) algorithm is a population‐based intelligent stochastic
search technique used to search for food with the intrinsic manner of bee swarming. PSO is …
search technique used to search for food with the intrinsic manner of bee swarming. PSO is …
An evolutionary dynamic population size PSO implementation
Particle Swarm Optimization (PSO) is a heuristic search method for the exploration of
solution spaces of complex optimization problems. The heuristic suffers from relatively long …
solution spaces of complex optimization problems. The heuristic suffers from relatively long …
Multi-technique diversity-based particle-swarm optimization
ZG Liu, XH Ji, Y Yang, HT Cheng - Information Sciences, 2021 - Elsevier
Particle swarm optimization (PSO) is a population-based random-search optimization
technique that has become an increasingly important branch of swarm intelligence studies …
technique that has become an increasingly important branch of swarm intelligence studies …
Opposition based initialization in particle swarm optimization (O-PSO)
Particle Swarm Optimization, a population based optimization technique has been used in
wide number of application areas to solve optimization problems. This paper presents a new …
wide number of application areas to solve optimization problems. This paper presents a new …
Performance analyses over population seeding techniques of the permutation-coded genetic algorithm: An empirical study based on traveling salesman problems
The genetic algorithm (GA) is a population based meta-heuristic global optimization
technique for dealing with complex problems with very large search space. The population …
technique for dealing with complex problems with very large search space. The population …
Studying the impact of initialization for population-based algorithms with low-discrepancy sequences
To solve different kinds of optimization challenges, meta-heuristic algorithms have been
extensively used. Population initialization plays a prominent role in meta-heuristic …
extensively used. Population initialization plays a prominent role in meta-heuristic …