A comparative study of a teaching–learning-based optimization algorithm on multi-objective unconstrained and constrained functions
Multi-objective optimization is the process of simultaneously optimizing two or more conflicting objectives subject to certain constraints. Real-life engineering designs often contain more than one conflicting objective function, which requires a multi-objective approach. In a single-objective optim...
Main Authors: | R. Venkata Rao, G.G. Waghmare |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2014-09-01
|
Series: | Journal of King Saud University: Computer and Information Sciences |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157813000967 |
Similar Items
-
Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems
by: R. Venkata Rao
Published: (2016-01-01) -
Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems
by: R. Venkata Rao
Published: (2016-01-01) -
A multi-objective improved teaching-learning based optimization algorithm for unconstrained and constrained optimization problems
by: R. Venkata Rao, et al.
Published: (2014-01-01) -
Two-Stage Multi-Swarm Particle Swarm Optimizer for Unconstrained and Constrained Global Optimization
by: Qiang Zhao, et al.
Published: (2020-01-01) -
Solving Multi-Objective Problems Using Bird Swarm Algorithm
by: Essam H. Houssein, et al.
Published: (2021-01-01)