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[PDF] Top 20 An improved vector particle swarm optimization for constrained optimization problems

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An improved vector particle swarm optimization for constrained optimization problems

An improved vector particle swarm optimization for constrained optimization problems

... solve constrained optimization problems (COP) fre- quently encountered in real-world ...paper, an improved vector particle swarm optimization (IVPSO) ... See full document

5

An improved particle swarm optimization with double-bottom chaotic maps for numerical optimization

An improved particle swarm optimization with double-bottom chaotic maps for numerical optimization

... outcomes for chaotic systems, render- ing long-term prediction impossible in ...(i.e., an evolution function) that exhibits some sort of chaotic ...paper, an improved logistic map, namely a ... See full document

10

Chaotic catfish particle swarm optimization for solving global numerical optimization problems

Chaotic catfish particle swarm optimization for solving global numerical optimization problems

... solutions for the swarm by guiding the entire swarm to promising new regions of the search space and accelerating the ...resulting improved PSO and CatfishPSO are called chaotic PSO (C-PSO) and ... See full document

8

Improved binary particle swarm optimization using catfish effect for feature selection

Improved binary particle swarm optimization using catfish effect for feature selection

... novel optimization algorithm called catfish binary particle swarm optimization (CatfishBPSO), in which the so-called catfish effect is applied to improve the performance of binary particle ... See full document

4

A MODIFIED PARTICLE SWARM OPTIMIZATION WITH FEASIBILITY-BASED RULES FOR MIXED-VARIABLE OPTIMIZATION PROBLEMS

A MODIFIED PARTICLE SWARM OPTIMIZATION WITH FEASIBILITY-BASED RULES FOR MIXED-VARIABLE OPTIMIZATION PROBLEMS

... technique for its simple principle that converts a constrained optimization problem to an unconstrained one by adding a penalty item to the objective ...difficult optimization itself ... See full document

8

OPSO: Orthogonal particle swarm optimization and its application to task assignment problems

OPSO: Orthogonal particle swarm optimization and its application to task assignment problems

... Orthogonal Particle Swarm Optimization and Its Application to Task Assignment Problems Shinn-Ying Ho, Member, IEEE, Hung-Sui Lin, Weei-Hurng Liauh, and Shinn-Jang Ho Abstract—This paper ... See full document

11

Chaotic maps based on binary particle swarm optimization for feature selection

Chaotic maps based on binary particle swarm optimization for feature selection

... Therefore, an exhaustive search performed over the entire solution space, which usually takes a long time, often cannot be applied in practice ...selection problems, we aimed at retaining only a subset of d ... See full document

5

Particle swarm optimization with recombination and dynamic linkage discovery

Particle swarm optimization with recombination and dynamic linkage discovery

... most problems, it is difficult to exactly identify the link- age configuration, especially when the linkage configuration may change over ...criteria for linkage adaptation, we entrust the task to natural ... See full document

11

Particle Swarm Optimization-Based SVM for Incipient Fault Classification of Power Transformers

Particle Swarm Optimization-Based SVM for Incipient Fault Classification of Power Transformers

... the particle swarm optimiza- tion (PSO) algorithm is presented in this ...Support Vector Machine (SVM) in the classification of incipient faults of power ...the improved accuracy in the ... See full document

4

Enhancing particle swarm optimization algorithm using two new strategies for optimizing design of truss structures

Enhancing particle swarm optimization algorithm using two new strategies for optimizing design of truss structures

... the particle searching procedure, balancing exploration and exploitation is crucial for an effective optimization ...develop an augmented particle swarm ... See full document

23

Particle Swarm Optimization

Particle Swarm Optimization

... global optimization and the related areas fields in order to know the methods of conducting mathematical model for solving the managing and engineering problems in the real ... See full document

3

Hybrid sliding level Taguchi-based particle swarm optimization for flowshop scheduling problems

Hybrid sliding level Taguchi-based particle swarm optimization for flowshop scheduling problems

... essential for optimizing the use of available resources and also for satisfying performance measurement ...problem. An efficient production scheduling can increase machine availability to promote the ... See full document

8

Chaotic particle swarm optimization for data clustering

Chaotic particle swarm optimization for data clustering

... Particle swarm optimization a b s t r a c t Data clustering is a popular analysis tool for data statistics in several fields, including includes pattern recognition, data mining, machine ... See full document

4

Binary particle swarm optimization for operon prediction

Binary particle swarm optimization for operon prediction

... propose an effective binary particle swarm optimization (BPSO) for operon ...basis for the intergenic distance ...a particle. The particle was subse- quently updated ... See full document

4

Hybrid Fuzzy C-means Clustering and Particle Swarm Optimization Algorithms for Traveling Salesman Problems

Hybrid Fuzzy C-means Clustering and Particle Swarm Optimization Algorithms for Traveling Salesman Problems

... 等,皆可運用旅行銷售員問題的概念來求解 。 TSP求解困難度會隨著節點數量 之增加而大 幅上升,因此陸續有學者以分群等相關方法,希 望藉此提高最佳化演算法求解 大型旅行銷售員 問題的效能。如Mulder和Wunsch[25]提出結合類 神 經 (Neural) 分 類 法 與 傳 統 區 域 搜 尋 法 (Local Search),提升PSO求解大型旅行銷售員問題的速 度。Zuo和Xiong[8] 提出以區域最佳群聚之螞蟻 ... See full document

8

Analysis of particle interaction in particle swarm optimization

Analysis of particle interaction in particle swarm optimization

... the swarm at a specific time step, the variance is a direct measurement of convergence, because from the viewpoint of statistical interpretation, a swarm converges as the variance of the distribution ... See full document

15

A hybrid particle swarm optimization for job shop scheduling problem

A hybrid particle swarm optimization for job shop scheduling problem

... ordering problems, there are two aspects for discussion: (1) Modify particle position representation for better suitability to the ...ordering problems can be represented by the ... See full document

18

Accelerated Linearly Decreasing Weight Particle Swarm Optimization for Data Clustering

Accelerated Linearly Decreasing Weight Particle Swarm Optimization for Data Clustering

... specifically for discerning the structure of and simplifying the complexity of large scale ...used for statistical data analysis, and is also used in many other fields, including machine learning, data ... See full document

3

A particle swarm optimization for multi-objective flowshop scheduling

A particle swarm optimization for multi-objective flowshop scheduling

... 6 Conclusion Many flowshop scheduling problem studies have been conducted in the past. However, the objective of most of these has been the minimization of the maximum comple- tion time (i.e., the makespan). In the real ... See full document

10

Hybrid Taguchi-based particle swarm optimization for flowshop scheduling problem

Hybrid Taguchi-based particle swarm optimization for flowshop scheduling problem

... essential for optimizing the use of available resources and also for satisfying performance measurement ...problem. An efficient production scheduling can increase machine availability to promote the ... See full document

9

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