A review on representative swarm intelligence algorithms for solving optimization problems: Applications and trends
J Tang, G Liu, Q Pan - IEEE/CAA Journal of Automatica Sinica, 2021 - ieeexplore.ieee.org
Swarm intelligence algorithms are a subset of the artificial intelligence (AI) field, which is
increasing popularity in resolving different optimization problems and has been widely …
increasing popularity in resolving different optimization problems and has been widely …
A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems
The ABC algorithm is one of the popular optimization algorithms and has been used
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …
Multi-objective task scheduling optimization for load balancing in cloud computing environment using hybrid artificial bee colony algorithm with reinforcement learning
B Kruekaew, W Kimpan - IEEE Access, 2022 - ieeexplore.ieee.org
Workload balancing in cloud computing is still challenging problem, especially in
Infrastructure as a Service (IaaS) in the cloud model. A problem that should not occur during …
Infrastructure as a Service (IaaS) in the cloud model. A problem that should not occur during …
A comprehensive survey: artificial bee colony (ABC) algorithm and applications
Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and
self-organized swarms. The well known examples for these swarms are bird flocks, fish …
self-organized swarms. The well known examples for these swarms are bird flocks, fish …
A new hybrid method based on particle swarm optimization, ant colony optimization and 3-opt algorithms for traveling salesman problem
Abstract The Traveling Salesman Problem (TSP) is one of the standard test problems used
in performance analysis of discrete optimization algorithms. The Ant Colony Optimization …
in performance analysis of discrete optimization algorithms. The Ant Colony Optimization …
Discrete Grey Wolf Optimizer for symmetric travelling salesman problem
Abstract Grey Wolf Optimizer (GWO) is a recently developed population-based metaheuristic
algorithm which imitates the behaviour of grey wolves for survival. Initially, GWO was …
algorithm which imitates the behaviour of grey wolves for survival. Initially, GWO was …
An improved discrete bat algorithm for symmetric and asymmetric traveling salesman problems
Bat algorithm is a population metaheuristic proposed in 2010 which is based on the
echolocation or bio-sonar characteristics of microbats. Since its first implementation, the bat …
echolocation or bio-sonar characteristics of microbats. Since its first implementation, the bat …
Multi-strategy ensemble artificial bee colony algorithm
Artificial bee colony (ABC) is a recently proposed optimization technique which has shown
to be competitive to other population-based stochastic algorithms. However, ABC is good at …
to be competitive to other population-based stochastic algorithms. However, ABC is good at …
DJAYA: A discrete Jaya algorithm for solving traveling salesman problem
Jaya algorithm is a newly proposed stochastic population-based metaheuristic optimization
algorithm to solve constrained and unconstrained continuous optimization problems. The …
algorithm to solve constrained and unconstrained continuous optimization problems. The …
A review of task scheduling based on meta-heuristics approach in cloud computing
P Singh, M Dutta, N Aggarwal - Knowledge and Information Systems, 2017 - Springer
Heterogeneous distributed computing systems are the emerging for executing scientific and
computationally intensive applications. Cloud computing in this context describes a …
computationally intensive applications. Cloud computing in this context describes a …