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Second, the range of modeling problems covered by the computational optimality results in this paper might be expanded.
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Third, the performance results for modular imperative agent-based models violating the computational optimality criteria might be compared to that of other modeling techniques by directly using the formalism.
This method leverages the computational efficiency and optimality of size obtained through combinatorial constructions while benefiting from the generality of a heuristic search.
Therefore, we propose a heuristic algorithm, DPLSQ-HS, to significantly improve the computational efficiency by relaxing the optimality condition.
The computational complexity and mobility optimality of SH is theoretically analyzed, and verifies superior computational performance and high solution quality of SH.
The optimum solution is checked by the Kuhn Tucker optimality conditions.
Update the archive by the Pareto optimality concept.
It is known that the SPs do not guarantee global optimality and the computational cost is high.
Furthermore, we propose a suboptimal secrecy beamforming design scheme with lower computational complexity by simplifying the optimality condition of constructing the rank-one solution.
Specifically, the evolution is significantly constrained by the optimality of codons used in each protein.
Inclusion of gaps in phylogenetic analyses is limited by the optimality criterion used for phylogenetic inference.
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