Metaheuristics: review and application
The area of metaheuristics has grown immensely in the past two decades as a solution to
real-world optimisation problems. They are able to perform well in situations where exact …
real-world optimisation problems. They are able to perform well in situations where exact …
Review on nature-inspired algorithms
Optimization and its related solving methods are becoming increasingly important in most
academic and industrial fields. The goal of the optimization process is to make a system or a …
academic and industrial fields. The goal of the optimization process is to make a system or a …
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions
F Kang, J Li, Z Ma - Information Sciences, 2011 - Elsevier
A Rosenbrock artificial bee colony algorithm (RABC) that combines Rosenbrock's rotational
direction method with an artificial bee colony algorithm (ABC) is proposed for accurate …
direction method with an artificial bee colony algorithm (ABC) is proposed for accurate …
PS–ABC: A hybrid algorithm based on particle swarm and artificial bee colony for high-dimensional optimization problems
Z Li, W Wang, Y Yan, Z Li - Expert Systems with Applications, 2015 - Elsevier
Particle swarm optimization (PSO) and artificial bee colony (ABC) are new optimization
methods that have attracted increasing research interests because of its simplicity and …
methods that have attracted increasing research interests because of its simplicity and …
[HTML][HTML] Genetic-based optimization in fog computing: Current trends and research opportunities
Fog computing is a new computational paradigm that emerged from the need to reduce
network usage and latency in the Internet of Things (IoT). Fog can be considered as a …
network usage and latency in the Internet of Things (IoT). Fog can be considered as a …
A simple and efficient real-coded genetic algorithm for constrained optimization
YC Chuang, CT Chen, C Hwang - Applied Soft Computing, 2016 - Elsevier
This paper presents a simple and efficient real-coded genetic algorithm (RCGA) for
constrained real-parameter optimization. Different from some conventional RCGAs that …
constrained real-parameter optimization. Different from some conventional RCGAs that …
A real-coded genetic algorithm with a direction-based crossover operator
YC Chuang, CT Chen, C Hwang - Information Sciences, 2015 - Elsevier
In this paper, we develop a parallel-structured real-coded genetic algorithm (RCGA), named
the RGA-RDD, for numerical optimization. Technically, the proposed RGA-RDD integrates …
the RGA-RDD, for numerical optimization. Technically, the proposed RGA-RDD integrates …
Optimal foraging algorithm for global optimization
GY Zhu, WB Zhang - Applied Soft Computing, 2017 - Elsevier
An optimization algorithm, inspired by the animal Behavioral Ecology Theory—Optimal
Foraging Theory, named the Optimal Foraging Algorithm (OFA) has been developed. As a …
Foraging Theory, named the Optimal Foraging Algorithm (OFA) has been developed. As a …
Z‐number‐based linear programming
Linear programming (LP) is the operations research technique frequently used in the fields
of science, economics, business, management science, and engineering. Although it is …
of science, economics, business, management science, and engineering. Although it is …
Differential evolution with hybrid linkage crossover
Y Cai, J Wang - Information Sciences, 2015 - Elsevier
In the field of evolutionary algorithms (EAs), differential evolution (DE) has been the subject
of much attention due to its strong global optimization capability and simple implementation …
of much attention due to its strong global optimization capability and simple implementation …