5th international conference on Pattern Recognition and Image Analysis (2021) at University of Kashan - News: Metaheuristic Algorithms: Theory and Implementation

Metaheuristic Algorithms: Theory and Implementation

Time & Schedule Friday, April 30, 2021 Starting from 09:00 till 16:00 No. seats: 30 people 


Abstract
Metaheuristic Algorithms is a sub-field of computational intelligence which aims to solve optimisation problems by modelling a population of agents and co-operative interaction among them. Various metaheuristic algorithms have been developed to solve complex optimisation problems. Examples of such algorithms are particle swarm
optimisation (PSO) , differential evolution (DE) , artificial bee colony algorithm (ABC) , colonial competitive algorithm (CCA) , human mental search( HMS) , and cuckoo search (CS) , among many others.
This workshop tries to cover the general structure of metaheuristic algorithms as well as introduce some of the algorithms and its implementation in Matlab.
 
Main Topics:
Introduction
Common concepts for metaheuristic algorithms
Single-solution based metaheuristic algorithms
Population-based metaheuristic algorithms
Simulated Annealing (theory and implementation in Matlab)
Particle swarm optimisation (theory and implementation in Matlab)
Differential evolution (theory and implementation in Matlab)
Human mental search (theory and implementation in Matlab)
 
Time & Schedule
……..
Starting from 09:00 till 16:00
No. seats: 30 people 
 
Registration Cost
Domestic:
400 Thousand Toman for regular participants
300 Thousand Toman for ISMVIP members/IEEE members/ IPRIA 2021 registered authors
200 Thousand Toman for students/ISMVIP members/IEEE members/ IPRIA 2021 registered authors
International:
75 Euro for regular participants
50 Euro for students/ISMVIP members/IEEE members
Metaheuristic Algorithms: Theory and Implementation

Return to News Page


© 2017-2021 ISMVIP All Rights Reserved