STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Microelectronics and Solid State Devices

Optimization algorithms for multi objective problems and its application to sustainable sources for supplementing energy crisis

  1. Dr. A. K. Barisal

Abstract

Optimization, also called mathematical programming, is a collection of mathematical ideas and techniques used to solve quantitative issues in a variety of areas, including physics, biology, architecture, economics, and business. The subject evolved out of the recognition that quantitative issues in apparently disparate disciplines share significant mathematical features. As a result of this similarity, a wide variety of issues can be articulated and solved utilising the unified set of concepts and methods that comprise the subject of optimization. Numerous sectors such as electrical circuits, architecture, nutrition, economics, and transportation have benefited from these optimization algorithms. In contrast to classical computing, soft computing works with approximation models and provides solutions to complicated real-world situations

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