Journal ArticleDOI
A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution
TLDR
A novel multi-objective cellular grey wolf optimizer (MOCGWO) is proposed to address the hybrid flowshop scheduling problem by integrating the merits of cellular automata for diversification and variable neighborhood search for intensification, which balances exploration and exploitation.About:
This article is published in Applied Soft Computing.The article was published on 2019-02-01. It has received 105 citations till now. The article focuses on the topics: Job shop scheduling & Noise pollution.read more
Citations
More filters
Journal ArticleDOI
Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art
TL;DR: Some promising directions ranging from algorithms improvement to technical applications are outlined to inspire researchers to conduct research in related areas.
Journal ArticleDOI
Energy-efficient scheduling for multi-objective flexible job shops with variable processing speeds by grey wolf optimization
Shu Luo,Linxuan Zhang,Yushun Fan +2 more
TL;DR: This study investigates the multi-objective flexible job shop scheduling problem (MOFJSP) with variable processing speeds aiming at minimizing the makespan and total energy consumption simultaneously and proposes an elaborately-designed MOGWO algorithm to address this issue.
Journal ArticleDOI
An enhanced multi-objective grey wolf optimizer for service composition in cloud manufacturing
TL;DR: In order to improve the diversity, a nonlinear adjustment strategy for control parameter is proposed to enhance the global exploration of the algorithm and an enhanced search strategy, which strengthens the exploration of leaders, is designed to avoid the local optimum.
Journal ArticleDOI
Image segmentation of Leaf Spot Diseases on Maize using multi-stage Cauchy-enabled grey wolf algorithm
Helong Yu,Jiuman Song,Cheng Chen,Ali Heidari,Jiawen Liu,Huiling Chen,Atef Zaguia,Majdi Mafarja +7 more
TL;DR: In this paper , a multi-stage grey wolf optimizer (MGWO) was proposed to improve the performance of the basic GWO by dividing the search process into three stages and using different population updating strategies.
Journal ArticleDOI
Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
Osama Ahmad Alomari,Sharif Naser Makhadmeh,Sharif Naser Makhadmeh,Sharif Naser Makhadmeh,Mohammed Azmi Al-Betar,Mohammed Azmi Al-Betar,Zaid Abdi Alkareem Alyasseri,Zaid Abdi Alkareem Alyasseri,Iyad Abu Doush,Iyad Abu Doush,Ammar Kamal Abasi,Ammar Kamal Abasi,Mohammed A. Awadallah,Mohammed A. Awadallah,Raed Abu Zitar +14 more
TL;DR: A new hybrid filter-wrapper approach using robust Minimum Redundancy Maximum Relevancy (rMRMR) as a filter approach to choose the top-ranked genes and it achieves the best results in four out of nine datasets and it obtains remarkable results on the remaining datasets.
References
More filters
Journal ArticleDOI
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Journal ArticleDOI
Grey Wolf Optimizer
TL;DR: The results of the classical engineering design problems and real application prove that the proposed GWO algorithm is applicable to challenging problems with unknown search spaces.
Journal ArticleDOI
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
Eckart Zitzler,Lothar Thiele +1 more
TL;DR: The proof-of-principle results obtained on two artificial problems as well as a larger problem, the synthesis of a digital hardware-software multiprocessor system, suggest that SPEA can be very effective in sampling from along the entire Pareto-optimal front and distributing the generated solutions over the tradeoff surface.
Journal ArticleDOI
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
TL;DR: This paper provides a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions and shows that elitism is shown to be an important factor for improving evolutionary multiobjectives search.
Book
Theory of Self-Reproducing Automata
John von Neumann,Arthur W. Burks +1 more
TL;DR: This invention relates to prefabricated buildings and comprises a central unit having a peripheral section therearound to form a main residential part defined by an assembly of juxtaposed roofing and facing trusses.
Related Papers (5)
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
Eckart Zitzler,Lothar Thiele +1 more