Secondly, we propose an improved flipping probability-based binary particle swarm optimization (IFBPSO), better applicable to the binary particle swarm optimization problem . Finally, we also design a new feature elimination (FE) strategy embedded in the binary particle swarm optimization algorithm . ...
Many studies report that evolutionary computation algorithm effectively solve such computational problems. Evolutionary computation techniques are well-known for their global search ability, and have been applied to feature selection problems. These includes particle swarm optimization (PSO) [30], [31] ...
Combinatorial Problem Solver Using a Binary/Discrete Particle Swarm Optimizer (Python implementation) Intro Particle Swarm Optimization (PSO) is a population-based stochastic optimization method, inspired by the social interactions of animals or insects in nature. Most of the PSO applications have been ...
Unit Commitment via an Enhanced Binary Particle Swarm Optimization Algorithm 求解机组组合问题的改进离散粒子群算法 www.ilib.cn 2. Distribution Network Reconfiguration for Load Balancing Based on Improved Binary Particle Swarm Optimization 基于改进二进制粒子群优化算法的负荷均衡化配电网重构 www.ilib.cn 3. ...
Gompertz binary particle swarm optimization algorithm (GBPSO) is applied to optimize kernel hyperparameters for SVDD and simultaneously solve the feature selection problem. In order to justify and validate the results, also the genetic algorithm (GA) and binary particle swarm optimization algorithm (...
Wu, "Active disturbance rejection control of a chaotic system based on immune binary-state particle swarm optimization algorithm." Acta Physica Sinica, vol. 60, no. 1, pp: 1-9, 2011.Liu, ZH, Zhang, YJ, Zhang, J (2011) Active disturbance rejection control of a chaotic system based on ...
Swarm CriterionandBinaryParticle OptimizationAlgorithm冰 YINHongtao,FUPingandSUNZhen (AutomaticTestandControlInstitute,HarbinInstituteofTechnology,Harbin150001,China) Abstract— Discretecosinetransform(DCT1isanef- fectivemethodtoextractProPerfeaturesforfacerecog— nition. DiscretecosinetransformcanonlymsPthere— source...
Particle Swarm Optimization: A Comprehensive Survey 2022, IEEE Access Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification 2019, IEEE Transactions on Evolutionary Computation Particle swarm optimization algorithm: an overview 2018, Soft Computing View all citing ...
Here the cipher text attack is considered and several keys are generated in the iteration of the Binary Particle Swarm Optimization algorithm on the basis of their cost function value which depends upon letter frequency. The results on the S-DES indicate that, this is a promising method and ...
A new improveddiscrete particle swarm optimizationalgorithm is designed to tackle the Traveling Salesman Problem. 针对旅行商问题,提出了一种改进的离散粒子群优化算法,根据优化问题及离散量的特点,对粒子的速度、速度的相关运算规则和粒子的运动方程进行了重新定义,为防止算法的早熟停滞现象,提出用扰动速度来增加粒子...