Multi-Objective Ant Lion Optimizer Based on Time Weight

Multi-objective evolutionary algorithms are widely used in many engineering optimization problems and artificial intelligence applications. Ant lion optimizer is an outstanding method, but two issues need to be solved extend it the multi-objective field, one how update Pareto archive, other choose elite ant lions from archive. We develop a novel variant of this paper. A new measure combining dominance relation distance information individuals put forward tackle first issue. The concept time weight developed handle second problem. Besides, mutation operation adopted on solutions middle part archive further improve its performance. Eleven functions, four indicators taken evaluate method. results show that proposed algorithm has better performance lower complexity.