A new fuzzy adaptive hybrid particle swarm optimization algorithm for non-linear, non-smooth and non-convex economic dispatch problem
T Niknam - Applied energy, 2010 - Elsevier
Economic dispatch (ED) plays an important role in power system operation. ED problem is a
non-smooth and non-convex problem when valve-point effects of generation units are taken …
non-smooth and non-convex problem when valve-point effects of generation units are taken …
Application of a hybrid of particle swarm and genetic algorithm for structural damage detection
S Sandesh, K Shankar - Inverse Problems in Science and …, 2010 - Taylor & Francis
This study presents a novel optimization algorithm which is a hybrid of particle swarm
optimization (PSO) method and genetic algorithm (GA). Using the Ackley and Schwefel …
optimization (PSO) method and genetic algorithm (GA). Using the Ackley and Schwefel …
[PDF][PDF] A combination of pso and svm for road icing forecast
LI Jian - Journal of computers, 2010 - Citeseer
The road icing is an adverse weather condition lead to dangerous driving conditions with
consequential effects on road transportation. A numerical road icing predication approach is …
consequential effects on road transportation. A numerical road icing predication approach is …
Digital redesign of uncertain interval systems based on extremal gain/phase margins via a hybrid particle swarm optimizer
CC Hsu, WY Shieh, CH Gao - Applied Soft Computing, 2010 - Elsevier
In this paper, a hybrid optimizer incorporating particle swarm optimization (PSO) and an
enhanced NM simplex search method is proposed to derive an optimal digital controller for …
enhanced NM simplex search method is proposed to derive an optimal digital controller for …
[PDF][PDF] The genetic algorithm with simplex crossover for identification of time delays
JP Paplinski - Intelligent Information Systems, 2010 - researchgate.net
The identification of time delay in a linear plant is one of the important identification tasks.
Most of the conventional identification techniques, such as those based on least mean …
Most of the conventional identification techniques, such as those based on least mean …
Non-dominated sorting simplex algorithm for multi-objective optimization
S Ruan, W Fan, Z Gao, J Lin, R Xin… - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
Traditional multi-objective optimization algorithms like NSGA/NSGA-II and NSDE employ
non-dominated sorting to locate the Pareto solutions. Their global convergence character …
non-dominated sorting to locate the Pareto solutions. Their global convergence character …
[引用][C] Parameters Selection for Differential Genetic Particle Swarm Optimization to Solve Constrained Optimization Problems
J Li - JOURNAL OF INFORMATION &COMPUTATIONAL …, 2010