Swarm intelligence
Extending Population-Based Incremental Learning to Continuous Search Spaces
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
A Cooperative Coevolutionary Approach to Function Optimization
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
A Hyperheuristic Approach to Scheduling a Sales Summit
PATAT '00 Selected papers from the Third International Conference on Practice and Theory of Automated Timetabling III
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
DE/EDA: a new evolutionary algorithm for global optimization
Information Sciences—Informatics and Computer Science: An International Journal
Completely Derandomized Self-Adaptation in Evolution Strategies
Evolutionary Computation
Population structure and particle swarm performance
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Population structure and particle swarm performance
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Don't push me! Collision-avoiding swarms
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Extending particle swarm optimisers with self-organized criticality
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
On the futility of blind search: An algorithmic view of “no free lunch”
Evolutionary Computation
Editorial: Special Issue on "Nature Inspired Problem-Solving"
Information Sciences: an International Journal
Large scale evolutionary optimization using cooperative coevolution
Information Sciences: an International Journal
Search based software testing of object-oriented containers
Information Sciences: an International Journal
Differential evolution with dynamic stochastic selection for constrained optimization
Information Sciences: an International Journal
Multi-strategy ensemble particle swarm optimization for dynamic optimization
Information Sciences: an International Journal
Particle swarm optimization with adaptive population size and its application
Applied Soft Computing
A self-generating fuzzy system with ant and particle swarm cooperative optimization
Expert Systems with Applications: An International Journal
A modified particle swarm optimization via particle visual modeling analysis
Computers & Mathematics with Applications
A perturbed particle swarm algorithm for numerical optimization
Applied Soft Computing
Self-adaptive multimethod search for global optimization in real-parameter spaces
IEEE Transactions on Evolutionary Computation
Differential evolution algorithm with strategy adaptation for global numerical optimization
IEEE Transactions on Evolutionary Computation
Efficient population utilization strategy for particle swarm optimizer
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
AMPSO: a new particle swarm method for nearest neighborhood classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A study of particle swarm optimization particle trajectories
Information Sciences: an International Journal
Ensemble strategies with adaptive evolutionary programming
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
A refactoring method for cache-efficient swarm intelligence algorithms
Information Sciences: an International Journal
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
The fully informed particle swarm: simpler, maybe better
IEEE Transactions on Evolutionary Computation
A Cooperative approach to particle swarm optimization
IEEE Transactions on Evolutionary Computation
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
IEEE Transactions on Evolutionary Computation
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
IEEE Transactions on Evolutionary Computation
A Hybrid Particle Swarm Branch-and-Bound (HPB) Optimizer for Mixed Discrete Nonlinear Programming
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Modeling discrete event scalable network systems
Information Sciences: an International Journal
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions
Information Sciences: an International Journal
Evaluation of two-stage ensemble evolutionary algorithm for numerical optimization
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Inter-particle communication and search-dynamics of lbest particle swarm optimizers: An analysis
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
An Intelligent Tuned Harmony Search algorithm for optimisation
Information Sciences: an International Journal
A memetic particle swarm optimization algorithm for multimodal optimization problems
Information Sciences: an International Journal
Novel swarm optimization for mining classification rules on thyroid gland data
Information Sciences: an International Journal
On fast and accurate block-based motion estimation algorithms using particle swarm optimization
Information Sciences: an International Journal
A chaotic digital secure communication based on a modified gravitational search algorithm filter
Information Sciences: an International Journal
An intelligent augmentation of particle swarm optimization with multiple adaptive methods
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Two-stage ensemble memetic algorithm: Function optimization and digital IIR filter design
Information Sciences: an International Journal
Diversity enhanced particle swarm optimization with neighborhood search
Information Sciences: an International Journal
Fixed-point digital IIR filter design using two-stage ensemble evolutionary algorithm
Applied Soft Computing
Self-Adaptive particle swarm optimization
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
An improved adaptive binary Harmony Search algorithm
Information Sciences: an International Journal
Credit portfolio management using two-level particle swarm optimization
Information Sciences: an International Journal
A swarm optimization algorithm inspired in the behavior of the social-spider
Expert Systems with Applications: An International Journal
A pattern based PSO approach for block matching in motion estimation
Engineering Applications of Artificial Intelligence
A new algorithm inspired in the behavior of the social-spider for constrained optimization
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Democratic PSO for truss layout and size optimization with frequency constraints
Computers and Structures
Adaptive learning algorithm of self-organizing teams
Expert Systems with Applications: An International Journal
A new stochastic framework for optimal generation scheduling considering wind power sources
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Information Sciences: an International Journal
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Particle swarm optimization (PSO) is a population-based stochastic search technique for solving optimization problems over continuous space, which has been proven to be efficient and effective in wide applications in scientific and engineering domains. However, the universality of current PSO variants, i.e., their ability to achieve good performance on a variety of different fitness landscapes, is still unsatisfying. For many practical problems, where the fitness landscapes are usually unknown, employing a trial-and-error scheme to search for the most suitable PSO variant is computationally expensive. Therefore, it is necessary to develop a more adaptive and robust PSO version to provide users a black-box tool for various application problems. In this paper, we propose a self-adaptive learning based PSO (SLPSO) to make up the above demerits. SLPSO simultaneously adopts four PSO based search strategies. A probability model is used to describe the probability of a strategy being used to update a particle. The model is self-adaptively improved according to the strategies' ability of generating better quality solutions in the past generations. In order to evaluate the performance of SLPSO, we compare it with eight state-of-the-art PSO variants on 26 numerical optimization problems with different characteristics such as uni-modality, multi-modality, rotation, ill-condition, mis-scale and noise. The experimental results clearly verify the advantages of SLPSO. Moreover, a practical engineering problem, the economic load dispatch problem of power systems (ELD), is used to further evaluate SLPSO. Compared with the previous effective ELD evolutionary algorithms, SLPSO can update the best solution records.