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It utilizes a genetic algorithm, combined with eight common heuristics, in an effort to minimize the total execution time.
Because the problem is NP-hard, the CA utilizes a genetic algorithm to determine the link on/off schedule.
The proposed solution procedure utilizes a genetic algorithm that is designed to find Pareto optimal solutions for this problem in a short period of time.
The technique utilizes a genetic algorithm (GA) to optimize functions based on binding property data derived from multiple virtual screening calculations.
We have designed a fully parallel and distributed hardware/software implementation of the generalized optimization subroutine PIKAIA, which utilizes a genetic algorithm to provide an objective determination of the globally optimal parameters for a given model against an observational data set.
In this paper a procedure for optimal design of shell and tube heat exchangers is proposed, which utilizes a genetic algorithm to minimize the total cost of the equipment including capital investment and the sum of discounted annual energy expenditures related to pumping.
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Thus, it was posed as a constrained optimization problem and solved utilizing a Genetic Algorithm with a penalty function approach.
In this work a novel approach utilizing a genetic algorithm (GA) based on a nonlinear energy operator (NEO) is proposed.
For the global minimum search, we utilize a genetic algorithm (GA) for exploring the configuration space.
A stacking sequence optimization method proposed previously by the authors which utilizes two-level approximations and a genetic algorithm is extended to solve the above problem, and an optimization framework is developed by interfacing the improved method with the finite element software MSC.Patran/Nastran.
Two different training methods (10-fold cross validation and training/testing) were utilized to obtain two different network architectures, while a Genetic algorithm was utilized to obtain optimal concentrations of the above medium components.
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