Work

Weighted Teaching-Learning-Based Optimization for Global Function Optimization

Year: 2013

Type: article

Abstract: Teaching-Learning-Based Optimization (TLBO) is recently being used as a new, reliable, accurate and robust optimization technique scheme for global optimization over continuous spaces [1]. This paper presents an, improved version of TLBO algorithm, called the Weighted Teaching-Learning-Based Optimization (WTLBO). This algorithm uses a parameter in TLBO algorithm to increase convergence rate. Performance comparisons of the proposed method are provided against the original TLBO and some other very popular and powerful evolutionary algorithms. The weighted TLBO (WTLBO) algorithm on several benchmark optimization problems shows a marked improvement in performance over the traditional TLBO and other algorithms as well.

Source: Applied Mathematics

DOI: 10.4236/am.2013.43064

Authors: Suresh Chandra Satapathy, Anima Naik, K. Parvathi

Institutions: Anil Neerukonda Institute of Technology & Sciences, Centurion University of Technology and Management

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W2152178978

FWCI: 6.773

Cites: 38

Cited by: 67

Related to: 10