Introducing languid particle dynamics to a selection of PSO variants
نویسندگان
چکیده
منابع مشابه
An Expert System for Intelligent Selection of Proper Particle Swarm Optimization Variants
Regarding the large number of developed Particle Swarm Optimization (PSO) algorithms and the various applications for which PSO has been used, selecting the most suitable variant of PSO for solving a particular optimization problem is a challenge for most researchers. In this paper, using a comprehensive survey and taxonomy on different types of PSO, an Expert System (ES) is designed to identif...
متن کاملSELECTION OF SUITABLE RECORDS FOR NONLINEAR ANALYSIS USING GENETIC ALGORITHM (GA) AND PARTICLE SWARM OPTIMIZATION (PSO)
This paper presents a suitable and quick way to choose earthquake records in non-linear dynamic analysis using optimization methods. In addition, these earthquake records are scaled. Therefore, structural responses of three different soil-frame models were examined, the change in maximum displacement of roof was analyzed and the damage index of whole structures was measured. The soil classifica...
متن کاملSemantic Web Service Selection Using Particle Swarm Optimization (Pso)
Service selection is a major constraint to discover and deliver services in a user friendly manner. In our system, we are enhancing and evaluating reliability of service discovery by adapting Particle Swarm Optimization (PSO) Algorithm in ontology repository to discover selected services. Our proposed technique is useful for ordinary search as well as semantic search corresponding to the servic...
متن کاملIntroducing the Fractional Order Robotic Darwinian PSO
The Darwinian Particle Swarm Optimization (DPSO) is an evolutionary algorithm that extends the Particle Swarm Optimization using natural selection to enhance the ability to escape from sub-optimal solutions. An extension of the DPSO to multi-robot applications has been recently proposed and denoted as Robotic Darwinian PSO (RDPSO), benefiting from the dynamical partitioning of the whole populat...
متن کاملIntroducing the fractional-order Darwinian PSO
One of the most well-known bio-inspired algorithms used in optimization problems is the particle swarm optimization (PSO), which basically consists on a machinelearning technique loosely inspired by birds flocking in search of food. More specifically, it consists of a number of particles that collectively move on the search space in search of the global optimum. The Darwinian particle swarm opt...
متن کاملذخیره 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: Egyptian Informatics Journal
سال: 2020
ISSN: 1110-8665
DOI: 10.1016/j.eij.2019.11.005