Constraint multi-target optimization method based on improved artificial bee colony algorithm
An artificial bee colony algorithm and multi-objective optimization technology, applied in the field of artificial intelligence research to achieve the effect of enhancing local search capabilities, broadening application fields, and accelerating convergence speed
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[0045] Below in conjunction with accompanying drawing and embodiment example, specific embodiment of the present invention is described in detail, but protection scope of the present invention is not limited by specific embodiment, under the premise of not violating the technical solution of the present invention, the common technology of this field that the present invention is made Any modification or change that can be easily realized by personnel belongs to the protection scope of the present invention.
[0046] This implementation mode adopts the constrained multi-objective optimization method based on the artificial bee colony algorithm, and the process is as follows figure 1 As shown, it specifically includes the following steps:
[0047] Step 1: Reverse initialization phase.
[0048] Step 1-1: Construct the emergency dispatch application problem model. This implementation example is oriented to the first stage of emergency rescue (at this time, the total demand is usua...
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