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Grasshopper optimization algorithm for multi-objective optimization problems

Seyedeh Zahra Mirjalili, S. Mirjalili, Shahrzad Saremi, Hossam Faris, Ibrahim Aljarah

2017.8.4APPLIED INTELLIGENCE

DOI: 10.1007/s10489-017-1019-8

tlooto Summary

A mathematical model is first employed to model the interaction of individuals in the swam including attraction force, repulsion force, and comfort zone and then a mechanism is proposed to use the model in approximating the global optimum in a single-objective search space.

Abstract

Abstract is not available.

Citation format

MIRJALILI, Seyedeh Zahra, et al. Grasshopper optimization algorithm for multi-objective optimization problems. APPLIED INTELLIGENCE, 2017, 48: 805–820.