Exact(3)
The experimental results show that the proposed meta-heuristic algorithm improves the solutions.
The method presented in this paper uses simple heuristics to find possible optimal operation points for the ESS and improves the solutions found using genetic algorithm optimisation.
The results demonstrated that in most problem cases, the local search improves the solutions of GA in term of system workload.
Similar(57)
This greatly improves the solution time, but at the expense of solution quality.
In many cases, GA2 improves the solution found by the BS method.
In this case, the solution provided by the method proposed in this paper improves the solution implemented by the company.
The result shows that the proposed hybrid genetic algorithm improves the solution accuracy and reliability compared to other techniques for EDP considering valve-point effects.
This paper will demonstrate how the software tool Sequence Planner (SP) not only supports this understanding by sequence visualization, but also improves the solution using optimization and verification.
The results indicate that HAOM improves the solution quality and outperforms other techniques in most of the instances.
It can be seen easily however that especially during non-peak hours the proposed method improves the solution obtained.
In a second step we improve the solutions using local search based on arc exchanges.
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