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Such intergovernmentalism does not look likely to generate efficient solutions.
Various studies have proved that AI can accelerate complicated processes and generate efficient solutions not only in disaster-related fields but also in many other fields (e.g., Monostori 2003; Alemdar et al., 2017).
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Approximate optimal solutions are found using a heuristic approach called simulated annealing combined with pure random search that generates efficient initial solutions.
Results show that NSGA-III performs better in generating efficient optimal solutions.
We believe that market mechanisms, used appropriately, will generate efficient economic outcomes.
An ε-constraint method is then applied to solve the model and to generate the efficient solutions.
The solution-making stages include: 1. Minimum up/down time establishment using a probabilistic priority list-oriented selection mechanism, 2. Spinning reserve constraint handling through a deterministic priority list-based process, 3. Power balance handling and a ramp rate modification procedure for generating efficient ramp-constrained solutions.
This paper extends the proposed method by Jahanshahloo et al. (2004) (a method for generating all the efficient solutions of a 0 1 multi-objective linear programming problem, Asia-Pacific Journal of Operational Research).
(For alternative approaches that avoid the task of initially generating all the efficient solutions cf., e.g., [29,69].) Various interactive procedures may be used for this purpose.
It is assumed that subjects will generate a more efficient solution if they plan a series of moves before actually beginning to move the beads or disks (Riccio et al. 2004).
We develop a tabu search algorithm in order to generate an approximate set of efficient solutions.
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