Journal ArticleDOI
Comparison of evolutionary-based optimization algorithms for structural design optimization
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TLDR
The results show that the proposed approach gives better solutions compared to genetic algorithm, particle swarm, immune algorithm, artificial bee colony algorithm and differential evolution algorithm that are representative of the state-of-the-art in the evolutionary optimization literature.About:
This article is published in Engineering Applications of Artificial Intelligence.The article was published on 2013-01-01. It has received 256 citations till now. The article focuses on the topics: Meta-optimization & Multi-swarm optimization.read more
Citations
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A modified particle swarm optimization for large-scale numerical optimizations and engineering design problems
TL;DR: An adaptive disruption strategy which originates from the disruption phenomenon of astrophysics, is proposed to shift the abilities between global exploration and local exploitation of particle swarm optimization for solving large-scale numerical optimizations and engineering design problems.
Journal ArticleDOI
Spectrum Prediction in Cognitive Radio with Hybrid Optimized Neural Network
P. Supraja,R. Pitchai,Raja +2 more
TL;DR: A Genetic Algorithm along with Particle Swarm Optimization (GAPSO) method is proposed with a Back-Propagation Neural Network (BPNN) as a novel supervised learning algorithm for predicting spectrum patterns in cognitive radio networks.
Journal ArticleDOI
Hybrid modeling and online optimization strategy for improving carbon efficiency in iron ore sintering process
TL;DR: A hybrid prediction model for CCR is developed, taking a comprehensive coke ratio (CCR) as a metric of carbon efficiency, and an online optimization strategy based on a chaos particle swarm optimization is presented.
Journal ArticleDOI
Application of an evolutionary algorithm-based ensemble model to job-shop scheduling
Choo Jun Tan,Siew Chin Neoh,Chee Peng Lim,Samer Hanoun,Wai Peng Wong,Chu Kong Loo,Li Zhang,Saeid Nahavandi +7 more
TL;DR: A modified micro genetic algorithm (MmGA) is used as the building block to formulate an ensemble model to undertake multi-objective optimisation problems in job-shop scheduling and the MmGA ensemble is able to approximate the optimal solution under the Pareto optimality principle.
Journal ArticleDOI
Optimal Component Sizing of a Four-Wheel Independently-Actuated Electric Vehicle With a Real-Time Torque Distribution Strategy
TL;DR: Simulation results show that the proposed PSO-based optimization method, combined with the real-time torque distribution strategy, can effectively downsize the main powertrain components and lead to better energy consumption.
References
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Journal ArticleDOI
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
Journal ArticleDOI
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
Dervis Karaboga,Bahriye Basturk +1 more
TL;DR: Artificial Bee Colony (ABC) Algorithm is an optimization algorithm based on the intelligent behaviour of honey bee swarm that is used for optimizing multivariable functions and the results showed that ABC outperforms the other algorithms.
Journal ArticleDOI
An effective co-evolutionary particle swarm optimization for constrained engineering design problems
TL;DR: A co-evolutionary particle swarm optimization approach (CPSO) for constrained optimization problems, where PSO is applied with two kinds of swarms for evolutionary exploration and exploitation in spaces of both solutions and penalty factors.
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