Abstract: Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and ...

Abstract: We compare single-objective genetic algorithms (SOGAs) with multi-objective genetic algorithms (MOGAs) in their applications to multi-objective knapsack problems. First we discuss ...

Multi-objective optimization uses mathematical models to describe scenarios of limited water availability and develop algorithms to find the optimal allocation. Wang et al. (2008)developed an ...

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