Improved genetic algorithm based on particle swarm optimization-inspired reference point placement-Reference-Cited by-同舟云学术

Improved genetic algorithm based on particle swarm optimization-inspired reference point placement

Published:2018-09-12 Issue:7 Volume:51 Page:1097-1114
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Essiet Ima O.¹,Sun Yanxia¹,Wang Zenghui²

Affiliation:

1. Department of Electrical and Electronics Engineering Science, University of Johannesburg, Johannesburg, South Africa

2. Department of Electrical and Mining Engineering, University of South Africa, Pretoria, South Africa

Funder

South African National Research Foundation Grants

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2018.1509961

Reference26 articles.

1. Solar energy forecasting based on hybrid neural network and improved metaheuristic algorithm

2. HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization

3. On the Performance Metrics of Multiobjective Optimization

4. Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems

5. A fast and elitist multiobjective genetic algorithm: NSGA-II

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