An Elitist Learning Particle Swarm Optimization With Scaling Mutation and Ring Topology

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An adaptive two-layer particle swarm optimization with elitist learning strategy

This study presents an adaptive two-layer particle swarm optimization algorithm with elitist learning strategy (ATLPSO-ELS), which has better search capability than classical particle swarm optimization. In ATLPSO-ELS, we perform evolution on both the current swarm and the memory swarm, motivated by the tendency of the latter swarm to distribute around the problem’s optima. To achieve better co...

متن کامل

Automatic Kernel Clustering with Multi-Elitist Particle Swarm Optimization Algorithm

This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. The proposed method is based on a modified version of classical Particle Swarm Optimization (PSO) algorithm, known as the Multi-elitist PSO (MEPSO) model. It also employs a kernel-induced similarity measure instead of t...

متن کامل

Microsoft Word - Quantum-behaved Particle Swarm Optimization With Elitist ..

Quantum-behaved Particle Swarm Optimization (QPSO) algorithm is a global convergence guaranteed algorithms, which outperforms traditional PSOs in search ability as well as having fewer parameters to control. In this paper, in order to depict the thinking model of people accurately that the decision-making is always influenced by the important part factors which we called elitist, so elitist mea...

متن کامل

An Improved Quantum-Behaved Particle Swarm Optimization Algorithm with Elitist Breeding for Unconstrained Optimization

An improved quantum-behaved particle swarm optimization with elitist breeding (EB-QPSO) for unconstrained optimization is presented and empirically studied in this paper. In EB-QPSO, the novel elitist breeding strategy acts on the elitists of the swarm to escape from the likely local optima and guide the swarm to perform more efficient search. During the iterative optimization process of EB-QPS...

متن کامل

EMCSO: An Elitist Multi-Objective Cat Swarm Optimization

This paper introduces a novel multi-objective evolutionary algorithm based on cat swarm optimizationalgorithm (EMCSO) and its application to solve a multi-objective knapsack problem. The multi-objective optimizers try to find the closest solutions to true Pareto front (POF) where it will be achieved by finding the less-crowded non-dominated solutions. The proposed method applies cat swarm optim...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Access

سال: 2018

ISSN: 2169-3536

DOI: 10.1109/access.2018.2885036