Exact(10)
Our Max Cut heuristic starts with alternatively assigning left-to-right sorted mapped reads to two components and then repeatedly moves one vertex at a time from one component to another, improving the solution at each step, until no more improvements of this type can be made.
Another area of improving the solution quality of metaheuristics is finding the optimal combination of algorithm control parameters.
The decoding method plays a pivotal role for improving the solution quality of any algorithm for the HFS problem.
The research results reveal that the proposed approach is preferable in improving the solution accuracy of chemical dynamic optimization problem.
Chou (2013) has proposed a cocktail decoding method capable of improving the solution quality of any algorithm incorporated with PSO for solving FFSP with multi-processor tasks.
Firstly, an efficient initialization scheme based on the PSO algorithm is presented for improving the solution quality of the initial harmony memory (HM).
Similar(50)
To solve this problem, we design a post-optimization method improving the solutions provided by a heuristic.
An iterative improvement procedure is introduced to improve the solution.
Furthermore, we applied tabu search to improve the solution quality.
This greatly improves the solution time, but at the expense of solution quality.
After the construction of an initial solution, local search is used to improve the solution.
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