Abstract
Most of the real-world search and optimization problems have multiple objectives. In the past few years, Multi-objective Evolutionary Algorithms (MOEAs) are widely used. A multi-objective optimization problem has several conflicting objectives that provide a set of trade-off optimal solutions. In this paper, we provide a brief review of Multi-objective Differential Evolution (MODE) primarily during the last 5 years. It covers several improved and modified variants of DE for solving multi-objective engineering problems.
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Ayaz, M., Panwar, A., & Pant, M. (2020). A Brief Review on Multi-objective Differential Evolution. In Advances in Intelligent Systems and Computing (Vol. 1053, pp. 1027–1040). Springer. https://doi.org/10.1007/978-981-15-0751-9_95
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