[HTML][HTML] A hybrid particle swarm optimization and simulated annealing algorithm for the job shop scheduling problem with transport resources
DBMM Fontes, SM Homayouni, JF Gonçalves - European Journal of …, 2023 - Elsevier
This work addresses a variant of the job shop scheduling problem in which jobs need to be
transported to the machines processing their operations by a limited number of vehicles …
transported to the machines processing their operations by a limited number of vehicles …
[HTML][HTML] Population size in particle swarm optimization
AP Piotrowski, JJ Napiorkowski… - Swarm and Evolutionary …, 2020 - Elsevier
Abstract Particle Swarm Optimization (PSO) is among the most universally applied
population-based metaheuristic optimization algorithms. PSO has been successfully used in …
population-based metaheuristic optimization algorithms. PSO has been successfully used in …
Phasor particle swarm optimization: a simple and efficient variant of PSO
Particle swarm optimizer is a well-known efficient population and control parameter-based
algorithm for global optimization of different problems. This paper focuses on a new and …
algorithm for global optimization of different problems. This paper focuses on a new and …
PSO-based analysis of Echo State Network parameters for time series forecasting
Abstract Echo State Networks, ESNs, are standardly composed of additive units undergoing
sigmoid function activation. They consist of a randomly recurrent neuronal infra-structure …
sigmoid function activation. They consist of a randomly recurrent neuronal infra-structure …
A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO)
In this study we present a new and effective grouping optimization algorithm (namely, the
Turbulent Flow of Water-based Optimization (TFWO)), inspired from a nature search …
Turbulent Flow of Water-based Optimization (TFWO)), inspired from a nature search …
Grey wolf, firefly and bat algorithms: Three widespread algorithms that do not contain any novelty
In this paper, we carry out a review of the grey wolf, the firefly and the bat algorithms. We
identify the concepts involved in these three metaphor-based algorithms and compare them …
identify the concepts involved in these three metaphor-based algorithms and compare them …
Quasi-affine transformation evolutionary algorithm with communication schemes for application of RSSI in wireless sensor networks
QUasi-Affine TRansformation Evolutionary algorithm (QUATRE) is a new optimization
algorithm based on population for complex multiple real parameter optimization problems in …
algorithm based on population for complex multiple real parameter optimization problems in …
A new optimization algorithm based on search and rescue operations
In this paper, a new optimization algorithm called the search and rescue optimization
algorithm (SAR) is proposed for solving single‐objective continuous optimization problems …
algorithm (SAR) is proposed for solving single‐objective continuous optimization problems …
Exposing the grey wolf, moth‐flame, whale, firefly, bat, and antlion algorithms: six misleading optimization techniques inspired by bestial metaphors
CL Camacho‐Villalón, M Dorigo… - … in Operational Research, 2023 - Wiley Online Library
We present a rigorous, component‐based analysis of six widespread metaphor‐based
algorithms for tackling continuous optimization problems. In addition to deconstructing the …
algorithms for tackling continuous optimization problems. In addition to deconstructing the …
Two-tier particle swarm optimization protocol for clustering and routing in wireless sensor network
RSY Elhabyan, MCE Yagoub - Journal of Network and Computer …, 2015 - Elsevier
Many cluster-based routing techniques for Wireless Sensor Networks (WSNs) have been
proposed in the literature. However, most of the proposed protocols emphasized on the …
proposed in the literature. However, most of the proposed protocols emphasized on the …