A real-coded multi-objective estimation of distribution algorithm
SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Real-World Applications of Multiobjective Optimization
Multiobjective Optimization
Combine LHS with MOEA to Optimize Complex Pareto Set MOPs
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Spread Assessment for Evolutionary Multi-Objective Optimization
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Multiobjective optimization problems with complicated Pareto sets, MOEA/D and NSGA-II
IEEE Transactions on Evolutionary Computation
Multiobjective evolutionary algorithm with controllable focus on the knees of the Pareto front
IEEE Transactions on Evolutionary Computation
A fast multi-objective evolutionary algorithm based on a tree structure
Applied Soft Computing
Multi-objective optimization with controlled model assisted evolution strategies
Evolutionary Computation
The Pareto-following variation operator as an alternative approximation model
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Multi-objective combinatorial optimisation with coincidence algorithm
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A clustering multi-objective evolutionary algorithm based on orthogonal and uniform design
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Guest editorial: special issue on evolutionary algorithms based on probabilistic models
IEEE Transactions on Evolutionary Computation - Special issue on evolutionary algorithms based on probabilistic models
A systems approach to evolutionary multiobjective structural optimization and beyond
IEEE Computational Intelligence Magazine
Information Sciences: an International Journal
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
A favorable weight-based evolutionary algorithm for multiple criteria problems
IEEE Transactions on Evolutionary Computation
Solving multiobjective optimization problem by constraint optimization
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
The RM-MEDA based on elitist strategy
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
Digital IIR filter design using multi-objective optimization evolutionary algorithm
Applied Soft Computing
Framework for many-objective test problems with both simple and complicated pareto-set shapes
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Multi-objective optimization with joint probabilistic modeling of objectives and variables
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Information Sciences: an International Journal
Interactive MOEA/D for multi-objective decision making
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Estimation of distribution algorithms: from available implementations to potential developments
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
A novel group search optimizer for multi-objective optimization
Expert Systems with Applications: An International Journal
Multi-objective immune algorithm with Baldwinian learning
Applied Soft Computing
A hybrid multiobjective evolutionary algorithm: Striking a balance with local search
Mathematical and Computer Modelling: An International Journal
MB-GNG: Addressing drawbacks in multi-objective optimization estimation of distribution algorithms
Operations Research Letters
A modification to MOEA/D-DE for multiobjective optimization problems with complicated Pareto sets
Information Sciences: an International Journal
WCCI'12 Proceedings of the 2012 World Congress conference on Advances in Computational Intelligence
A review on probabilistic graphical models in evolutionary computation
Journal of Heuristics
An entropy-based multiobjective evolutionary algorithm with an enhanced elite mechanism
Applied Computational Intelligence and Soft Computing
A co-evolutionary multi-objective optimization algorithm based on direction vectors
Information Sciences: an International Journal
Identification of multi-resolution network structures with multi-objective immune algorithm
Applied Soft Computing
MOEA/D + uniform design: A new version of MOEA/D for optimization problems with many objectives
Computers and Operations Research
Multi-objective optimization with estimation of distribution algorithm in a noisy environment
Evolutionary Computation
Liger: an open source integrated optimization environment
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Search-based genetic optimization for deployment and reconfiguration of software in the cloud
Proceedings of the 2013 International Conference on Software Engineering
Comprehensive Survey of the Hybrid Evolutionary Algorithms
International Journal of Applied Evolutionary Computation
Computers & Mathematics with Applications
Annals of Mathematics and Artificial Intelligence
Optimization power consumption model of reliability-aware GPU clusters
The Journal of Supercomputing
An improved bacterial colony chemotaxis multi-objective optimisation algorithm
International Journal of Computing Science and Mathematics
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Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is a piecewise continuous (m - 1)-D manifold, where m is the number of objectives. Based on this regularity property, we propose a regularity model-based multiobjective estimation of distribution algorithm (RM-MEDA) for continuous multiobjective optimization problems with variable linkages. At each generation, the proposed algorithm models a promising area in the decision space by a probability distribution whose centroid is a (m - 1)-D piecewise continuous manifold. The local principal component analysis algorithm is used for building such a model. New trial solutions are sampled from the model thus built. A nondominated sorting-based selection is used for choosing solutions for the next generation. Systematic experiments have shown that, overall, RM-MEDA outperforms three other state-of-the-art algorithms, namely, GDE3, PCX-NSGA-II, and MIDEA, on a set of test instances with variable linkages. We have demonstrated that, compared with GDE3, RM-MEDA is not sensitive to algorithmic parameters, and has good scalability to the number of decision variables in the case of nonlinear variable linkages. A few shortcomings of RM-MEDA have also been identified and discussed in this paper.