International Journal of Advanced Networking and Applications

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Different Aspects of Evolutionary Algorithms, Multi-Objective Optimization Algorithms and Application Domain


Affiliations
1 Computer Centre, University of Lucknow, Lucknow (U.P.) - 226 007, India
2 J.K. Institute of Applied Physics & Technology, University of Allahabad, Allahabad (U.P.), India
 

This paper presents the basic introduction of the Optimization, Multi-Objective Optimization algorithms, Multi- Objective Optimization Problems and its application domain. It also emphasizes the differences and needs of the optimization on the basis of a single objective and multi objective criteria. It explains various techniques to evaluate the Multi-Objective Optimization Problems. We present the gracefulness of Genetic Algorithms for solving the problems through Multi-Objective Genetic Algorithms and also compare various methods. We also represent the difficulties came in to consideration to solve a Multi-Objective Optimization Problem.

Keywords

Evolutionary Program, Evolutionary Strategy, Genetic Algorithm, Multi-Objective Optimization Problems, Optimization, Single Objective Optimization Problems.
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  • Different Aspects of Evolutionary Algorithms, Multi-Objective Optimization Algorithms and Application Domain

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Authors

Dhirendra Pal Singh
Computer Centre, University of Lucknow, Lucknow (U.P.) - 226 007, India
Ashish Khare
J.K. Institute of Applied Physics & Technology, University of Allahabad, Allahabad (U.P.), India

Abstract


This paper presents the basic introduction of the Optimization, Multi-Objective Optimization algorithms, Multi- Objective Optimization Problems and its application domain. It also emphasizes the differences and needs of the optimization on the basis of a single objective and multi objective criteria. It explains various techniques to evaluate the Multi-Objective Optimization Problems. We present the gracefulness of Genetic Algorithms for solving the problems through Multi-Objective Genetic Algorithms and also compare various methods. We also represent the difficulties came in to consideration to solve a Multi-Objective Optimization Problem.

Keywords


Evolutionary Program, Evolutionary Strategy, Genetic Algorithm, Multi-Objective Optimization Problems, Optimization, Single Objective Optimization Problems.