Tracking Variable Fitness Landscape in Dynamic Multi-Objective Optimization Using Adaptive Mutation and Crossover Operators

Many real-world problems are modeled as multi-objective optimization problems whose optimal solutions change with time. These problems are commonly termed dynamic multi-objective optimization problems (DMOPs). One challenge associated with solving such problems is the fact that the Pareto front or P...

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Hlavní autoři:	Ima Okon Essiet, Yanxia Sun
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2020-01-01
Edice:	IEEE Access
Témata:	Convergence diversity dynamic multi-objective optimization inverted generational distance reference points
On-line přístup:	https://ieeexplore.ieee.org/document/9225152/
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