Multi-modal multi-objective evolution method with double reference vector guidance
The invention relates to the technical field of multi-modal multi-objective optimization in evolutionary computation, in particular to a multi-modal multi-objective evolutionary method guided by double reference vectors, which uses the reference vectors to divide a decision space and a target space,...
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| creator | SUN CHAOLI SUN YOUWEI |
| description | The invention relates to the technical field of multi-modal multi-objective optimization in evolutionary computation, in particular to a multi-modal multi-objective evolutionary method guided by double reference vectors, which uses the reference vectors to divide a decision space and a target space, and combines a crowding distance value in the decision space and an APD value in the target space to obtain a multi-modal multi-objective evolutionary algorithm. The non-dominated space with higher diversity is selected and stored in an archive, so that the diversity of the decision space and the target space is improved; meanwhile, a next generation population is generated based on a special crowding distance index, so that the diversity between a decision space and a target space can be balanced; in addition, a strategy of combining local convergence quality and a special congestion distance and methods of reserving a potential boundary solution and the like are adopted for environment selection, so that the opt |
| format | Patent |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
| title | Multi-modal multi-objective evolution method with double reference vector guidance |
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