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- W2036291206 abstract "This paper proposes a new multi-objective optimization algorithm inspired by the Newtonian Law of Gravity. The new algorithm is a multiple objective extension of the single objective optimization Gravitational Search Algorithm. Generally, we know various multi-objective algorithms with leader selection schemes. The Leader guides the population towards Pareto fronts. As a result, the algorithm becomes complex in nature. To reduce that part of the cost, we introduce a new algorithm which does not use the leader for guidance but relies on its own population to obtain the non-dominated set of solutions. The algorithm has been tested on several benchmark functions and has produced a good number of solutions. Our purpose of research is to showcase that the memory-less property of the single objective Gravitational Search Algorithm can be used to solve multiple objective problems." @default.
- W2036291206 created "2016-06-24" @default.
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- W2036291206 date "2015-01-01" @default.
- W2036291206 modified "2023-09-25" @default.
- W2036291206 title "A Novel Physics Inspired Multi-objective Optimization Algorithm: Multiple Objective Gravitational Optimization" @default.
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- W2036291206 doi "https://doi.org/10.1109/cine.2015.16" @default.
- W2036291206 hasPublicationYear "2015" @default.
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