Dynamic multiobjective optimization problems: test cases, approximation, and applications

Authors:
M. Farina;K. Deb;P. Amato
Affiliations:
STMicroelectronics, Agrate, MI, Italy;Kanpur Genetic Algorithms Laboratory, Dept. of Mechanical Engg. IITK Kanpur, India;STMicroelectronics, Agrate, MI, Italy
Venue:
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Year:
2003

Citing 2
Cited 3

Genetic algorithms in time-dependent environments

Theoretical aspects of evolutionary computing
Multi-objective genetic algorithms: Problem difficulties and construction of test problems

Evolutionary Computation

The construction of dynamic multi-objective optimization test functions

ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Perspectives in dynamic optimization evolutionary algorithm

ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
A Culture-Based Particle Swarm Optimization Framework for Dynamic, Constrained Multi-Objective Optimization

International Journal of Swarm Intelligence Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

Parametric and dynamic multiobjective optimization problems for adaptive optimal control are carefully defined; some test problems are introduced for both continuous and discrete design spaces. A simple example of a dynamic multiobjective optimization problems arising from a dynamic control loop is given and an extension for dynamic situation of a previously proposed search direction based method is proposed and tested on the proposed test problems.