Differential evolution with infeasible-guiding mutation operators for constrained multi-objective optimization
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Differential evolution with infeasible-guiding mutation operators for constrained multi-objective optimization
Authors
Keywords
-
Journal
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-07-20
DOI
10.1007/s10489-020-01733-0
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Self-adaptive differential artificial bee colony algorithm for global optimization problems
- (2019) Xu Chen et al. Swarm and Evolutionary Computation
- An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions
- (2019) Zhun Fan et al. SOFT COMPUTING
- A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio
- (2019) Yongkuan Yang et al. APPLIED SOFT COMPUTING
- An evolutionary gravitational search-based feature selection
- (2019) Mohammad Taradeh et al. INFORMATION SCIENCES
- Differential evolution using cooperative ranking-based mutation operators for constrained optimization
- (2019) Bin Xu et al. Swarm and Evolutionary Computation
- A feasible-ratio control technique for constrained optimization
- (2019) Ruwang Jiao et al. INFORMATION SCIENCES
- Individual-dependent feasibility rule for constrained differential evolution
- (2019) Bing-Chuan Wang et al. INFORMATION SCIENCES
- Indicator-Based Constrained Multiobjective Evolutionary Algorithms
- (2019) Zhi-Zhong Liu et al. IEEE Transactions on Systems Man Cybernetics-Systems
- A hybrid multi-objective evolutionary algorithm with feedback mechanism
- (2018) Chao Lu et al. APPLIED INTELLIGENCE
- A corner point-based algorithm to solve constrained multi-objective optimization problems
- (2018) Xiaobing Yu et al. APPLIED INTELLIGENCE
- A novel multi-objective optimization algorithm based on artificial algae for multi-objective engineering design problems
- (2018) Mohamed A. Tawhid et al. APPLIED INTELLIGENCE
- Differential evolution with adaptive trial vector generation strategy and cluster-replacement-based feasibility rule for constrained optimization
- (2018) Bin Xu et al. INFORMATION SCIENCES
- Adaptive multi objective differential evolution with fuzzy decision making in preventive and corrective control approaches for voltage security enhancement
- (2018) J. Preetha Roselyn et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Adaptive differential evolution with multi-population-based mutation operators for constrained optimization
- (2018) Bin Xu et al. SOFT COMPUTING
- A self-adaptive mating restriction strategy based on survival length for evolutionary multiobjective optimization
- (2018) Xin Li et al. Swarm and Evolutionary Computation
- An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks
- (2018) Hossam Faris et al. Information Fusion
- PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]
- (2017) Ye Tian et al. IEEE Computational Intelligence Magazine
- An Indicator Based Multi-Objective Evolutionary Algorithm with Reference Point Adaptation for Better Versatility
- (2017) Ye Tian et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A MOEA/D-based multi-objective optimization algorithm for remote medical
- (2017) Shufu Lin et al. NEUROCOMPUTING
- A novel adaptive hybrid crossover operator for multiobjective evolutionary algorithm
- (2016) Qingling Zhu et al. INFORMATION SCIENCES
- A grid-based adaptive multi-objective differential evolution algorithm
- (2016) Jixiang Cheng et al. INFORMATION SCIENCES
- A hybrid differential evolution algorithm with estimation of distribution algorithm for reentrant hybrid flow shop scheduling problem
- (2016) Bing-hai Zhou et al. NEURAL COMPUTING & APPLICATIONS
- Cooperative Differential Evolution With Multiple Populations for Multiobjective Optimization
- (2016) Jiahai Wang et al. IEEE Transactions on Cybernetics
- Incorporating Objective Function Information Into the Feasibility Rule for Constrained Evolutionary Optimization
- (2016) Yong Wang et al. IEEE Transactions on Cybernetics
- A novel hybrid multi-objective immune algorithm with adaptive differential evolution
- (2015) Qiuzhen Lin et al. COMPUTERS & OPERATIONS RESEARCH
- An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition
- (2015) Ke Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Multi-objective particle swarm-differential evolution algorithm
- (2015) Yi-xin Su et al. NEURAL COMPUTING & APPLICATIONS
- An experimental analysis of a new two-stage crossover operator for multiobjective optimization
- (2015) K. Liagkouras et al. SOFT COMPUTING
- Evolutionary multi-objective optimisation: a survey
- (2015) Nadia Nedjah et al. International Journal of Bio-Inspired Computation
- A novel multi-objective memetic algorithm based on opposition-based self-adaptive differential evolution
- (2015) J. K. Chong Memetic Computing
- Multi-objective differential evolution with ranking-based mutation operator and its application in chemical process optimization
- (2014) Xu Chen et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- An improved teaching-learning-based optimization algorithm for numerical and engineering optimization problems
- (2014) Kunjie Yu et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems
- (2013) Licheng Jiao et al. APPLIED SOFT COMPUTING
- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach
- (2013) Himanshu Jain et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- DESAMC+DocSum: Differential evolution with self-adaptive mutation and crossover parameters for multi-document summarization
- (2012) Rasim M. Alguliev et al. KNOWLEDGE-BASED SYSTEMS
- Self-adaptive differential evolution algorithm with α-constrained-domination principle for constrained multi-objective optimization
- (2012) Feng Qian et al. SOFT COMPUTING
- An improved generalized differential evolution algorithm for multi-objective reactive power dispatch
- (2011) S. Ramesh et al. ENGINEERING OPTIMIZATION
- A new hybrid mutation operator for multiobjective optimization with differential evolution
- (2011) Karthik Sindhya et al. SOFT COMPUTING
- Constraint-handling in nature-inspired numerical optimization: Past, present and future
- (2011) Efrén Mezura-Montes et al. Swarm and Evolutionary Computation
- A particle swarm optimizer for constrained multi-objective engineering design problems
- (2010) Miltiadis Kotinis ENGINEERING OPTIMIZATION
- Constrained multi-objective optimization algorithm with an ensemble of constraint handling methods
- (2010) B. Y. Qu et al. ENGINEERING OPTIMIZATION
- Hybrid multi-objective differential evolution (H-MODE) for optimisation of polyethylene terephthalate (PET) reactor
- (2010) Ashish M. Gujarathi et al. International Journal of Bio-Inspired Computation
- Recent advances in differential evolution: a survey and experimental analysis
- (2009) Ferrante Neri et al. ARTIFICIAL INTELLIGENCE REVIEW
- DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems
- (2009) Luis V. Santana-Quintero et al. COMPUTERS & OPERATIONS RESEARCH
- Multi-objective self-adaptive differential evolution with elitist archive and crowding entropy-based diversity measure
- (2009) Yao-Nan Wang et al. SOFT COMPUTING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search