JOURNAL ARTICLE

Multi-strategy ensemble artificial bee colony algorithm for large-scale production scheduling problem

Hui WangWenjun WangHui Sun

Year: 2015 Journal:   International Journal of Innovative Computing and Applications Vol: 6 (3/4)Pages: 128-128   Publisher: Inderscience Publishers

Abstract

This paper presents a multi-strategy ensemble artificial bee colony (MEABC) algorithm for solving large-scale production scheduling problem. MEABC is a new variant of artificial bee colony (ABC), which has shown good performance on many continuous optimisation problems. To apply MEABC to discrete production scheduling problem, the smallest position value (SPV) rule is employed. Moreover, a modified NEH-based population initialisation method is utilised for generating high-quality initial solutions. Experimental study is conducted on a set of 140 flow shop scheduling problems with the size from 20 × 5 to 2,000 × 100. Simulation results show that MEABC performs better than the NEH and ABC on all test instances.

Keywords:
Artificial bee colony algorithm Computer science Mathematical optimization Scheduling (production processes) Flow shop scheduling Job shop scheduling Algorithm Artificial intelligence Mathematics Schedule

Metrics

6
Cited By
1.64
FWCI (Field Weighted Citation Impact)
17
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Scheduling and Optimization Algorithms
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Metaheuristic Optimization Algorithms Research
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering

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