Open AccessHybrid Jaya Algorithm for Solving Multi-Objective 0-1 Integer Programming Problem
Author(s) -
Surbhi Tilva,
Jayesh M. Dhodiya
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b4963.129219
Subject(s) - integer programming , algorithm , mathematical optimization , exponential function , set (abstract data type) , integer (computer science) , evolutionary algorithm , function (biology) , computer science , computation , evolutionary computation , binary number , mathematics , mathematical analysis , arithmetic , evolutionary biology , biology , programming language
The aim of this paper is to find the optimal solution of complex multi-objective 0-1 integer programming problem(IPP) where as other evolutionary approaches are fails to achieve optimal solution or it may take huge efforts for computation. This paper presents the Hybrid Jaya algorithm for solving Multi-objective 0-1 IPP with the use of exponential membership function. In this work, we have improved the Jaya algorithm by bring in the conception of binary and exponential membership function. To established the effectualness of the suggested algorithm, one mathematical illustration is given with a data set from the practical and sensible state. At the end, the response of the improved algorithm is compared with other reported algorithms and we found that the suggested algorithm is evenly good or better for obtaining the solution of multi-objective 0-1 IPP.