Detecting spin-flip symmetry in optimization problems
Theoretical aspects of evolutionary computing
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
A Survey of Optimization by Building and Using Probabilistic Models
Computational Optimization and Applications
Recent approaches to global optimization problems through Particle Swarm Optimization
Natural Computing: an international journal
From Recombination of Genes to the Estimation of Distributions I. Binary Parameters
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning
DE/EDA: a new evolutionary algorithm for global optimization
Information Sciences—Informatics and Computer Science: An International Journal
Advances in Evolutionary Algorithms: Theory, Design and Practice (Studies in Computational Intelligence)
Adaptive estimated maximum-entropy distribution model
Information Sciences: an International Journal
Introducing assignment functions to Bayesian optimization algorithms
Information Sciences: an International Journal
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 04
Fda -a scalable evolutionary algorithm for the optimization of additively decomposed functions
Evolutionary Computation
Editorial: Special Issue on "Nature Inspired Problem-Solving"
Information Sciences: an International Journal
Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms
Information Sciences: an International Journal
BAIS: A Bayesian Artificial Immune System for the effective handling of building blocks
Information Sciences: an International Journal
A Novel Discrete Particle Swarm Optimization Based on Estimation of Distribution
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
A study of particle swarm optimization particle trajectories
Information Sciences: an International Journal
Hierarchical BOA solves ising spin glasses and MAXSAT
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Genetic particle swarm optimization based on estimation of distribution
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
An estimation of distribution particle swarm optimization algorithm
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
IEEE Transactions on Evolutionary Computation
On the Scalability of Real-Coded Bayesian Optimization Algorithm
IEEE Transactions on Evolutionary Computation
Disturbed Exploitation compact Differential Evolution for limited memory optimization problems
Information Sciences: an International Journal
Entropy-based efficiency enhancement techniques for evolutionary algorithms
Information Sciences: an International Journal
Information Sciences: an International Journal
Editorial: Special issue: Swarm intelligence and its applications
Information Sciences: an International Journal
A review on probabilistic graphical models in evolutionary computation
Journal of Heuristics
Information Sciences: an International Journal
A hybrid compact genetic algorithm applied to the multi-level capacitated lot sizing problem
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Hybrid Estimation of Distribution Algorithm for the Quay Crane Scheduling Problem
Applied Soft Computing
A hybrid cGA applied to the MLCLSP with overtime
ACM SIGAPP Applied Computing Review
Estimation of distribution algorithm for a class of nonlinear bilevel programming problems
Information Sciences: an International Journal
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This paper presents a novel framework of the estimation of particle swarm distribution algorithms (EPSDAs). The aim is to effectively combine particle swarm optimization (PSO) with the estimation of distribution algorithms (EDAs) without losing their unique features. This aim is achieved by incorporating the following mechanisms: (1) selection is applied to the local best solutions in order to obtain more promising individuals for model building, (2) a probabilistic model of the problem is built from the selected solutions, and (3) new individuals are generated by a stochastic combination of the EDA's model sampling method and the PSO's particle moving mechanism. To exhibit the utility of the EPSDA framework, an extended compact particle swarm optimization (EcPSO) is developed by combining the strengths of the extended compact genetic algorithm (EcGA) with binary PSO (BPSO), along the lines of the suggested framework. Due to its effective nature of harmonizing the global search of EcGA with the local search of BPSO, EcPSO is able to discover the optimal solution in a fast and reliable manner. Experimental results on artificial to real-world problems have adduced grounds for the effectiveness of the proposed approach.