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 …
A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms
Distributed generation, with respect to its ability in utilizing the alternative resources of
energy, provides a promising future for power generation in electric networks. Distributed …
energy, provides a promising future for power generation in electric networks. Distributed …
Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem
Distributed permutation flowshop scheduling problem (DPFSP) has become a very active
research area in recent years. However, minimizing total flowtime in DPFSP, a very relevant …
research area in recent years. However, minimizing total flowtime in DPFSP, a very relevant …
An adaptive artificial bee colony with reinforcement learning for distributed three-stage assembly scheduling with maintenance
Distributed three-stage assembly scheduling problem extensively exists in the real-life
assembly production process and is seldom considered. The integration of reinforcement …
assembly production process and is seldom considered. The integration of reinforcement …
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 …
Multi-objective home health care routing and scheduling with sharing service via a problem-specific knowledge-based artificial bee colony algorithm
Currently, the healthcare of elderly people arouses widespread concerns since the sharp
increase of aging population puts severe stress on public medical resources. Home health …
increase of aging population puts severe stress on public medical resources. Home health …
Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions
This paper proposes an energy-aware multi-objective optimization algorithm (EA-MOA) for
solving the hybrid flow shop (HFS) scheduling problem with consideration of the setup …
solving the hybrid flow shop (HFS) scheduling problem with consideration of the setup …
Honey bee behavior inspired load balancing of tasks in cloud computing environments
Scheduling of tasks in cloud computing is an NP-hard optimization problem. Load balancing
of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of …
of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of …
Parameter identification of solar cells using artificial bee colony optimization
In order to improve the performance of solar energy systems, accurate modeling of current
vs. voltage (I–V) characteristics of solar cells has attracted the attention of various …
vs. voltage (I–V) characteristics of solar cells has attracted the attention of various …