An improved bat algorithm hybridized with extremal optimization and Boltzmann selection

MR Chen, YY Huang, GQ Zeng, KD Lu… - Expert Systems with …, 2021 - Elsevier
As a meta-heuristic algorithm, bat algorithm (BA) is based on the characteristics of bat-based
echolocation and has been widely used in various aspects of optimization problems since it …

A novel real-coded population-based extremal optimization algorithm with polynomial mutation: A non-parametric statistical study on continuous optimization …

LM Li, KD Lu, GQ Zeng, L Wu, MR Chen - Neurocomputing, 2016 - Elsevier
As a recently developed optimization method inspired by far-from-equilibrium dynamics of
self-organized criticality, extremal optimization (EO) has been successfully applied to a …

Probability-directed random search algorithm for unconstrained optimization problem

MJ Al-Muhammed, RA Zitar - Applied Soft Computing, 2018 - Elsevier
Devising ways for handling problem optimization is an important yet a challenging task. The
aims are always for methods that can effectively and quickly discover the global optimum for …

A real-coded extremal optimization method with multi-non-uniform mutation for the design of fractional order PID controllers

GQ Zeng, HY Liu, D Wu, LM Li, L Wu, YX Dai… - … Technology and Control, 2016 - itc.ktu.lt
Abstract Design of an effective and efficient fractional order PID (FOPID) controller for an
industrial control system to obtain high-quality performances is of great theoretical and …

[HTML][HTML] An efficient algorithm for unconstrained optimization

SG de-los-Cobos-Silva… - Mathematical …, 2015 - hindawi.com
This paper presents an original and efficient PSO algorithm, which is divided into three
phases:(1) stabilization,(2) breadth-first search, and (3) depth-first search. The proposed …

Gradient-based adaptive particle swarm optimizer with improved extremal optimization

X Zhao, JN Hwang, Z Fang, G Wang - Applied Intelligence, 2018 - Springer
Most real-world applications can be formulated as optimization problems, which commonly
suffer from being trapped into the local optima. In this paper, we make full use of the global …

Multiobjective generalized extremal optimization algorithm for simulation of daylight illuminants

SR Kumar, CP Kurian… - Journal of Photonics for …, 2017 - spiedigitallibrary.org
Daylight illuminants are widely used as references for color quality testing and optical vision
testing applications. Presently used daylight simulators make use of fluorescent bulbs that …

Likelihood-Based Random Search Technique for Solving Unconstrained Optimization Problems

MJ Al-Muhammed - 2018 IEEE/ACS 15th International …, 2018 - ieeexplore.ieee.org
Although many methods have been devised for solving optimization problems, there still a
pressing need for more effective and efficient techniques. Most of the proposed techniques …

A Three Particles Algorithm for Solving Some Very High Dimensional Benchmark Unconstrained Optimization Problems Using a Fuzzy Fitness Criterium

SG De-Los-Cobos-Silva… - … Journal of Uncertainty …, 2018 - World Scientific
This work focuses predominantly on unconstrained optimization problems and presents an
original algorithm (the code can be downloaded from Ref. 1), which is used for solving a …

[引用][C] Extremal optimisation aplicado al problema de ruteo de vehículos con límites de capacidad

J Sanhueza Gatica - 2016 - Universidad Católica de la …