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Optimal product design is provided by algorithm-based solution finding methods that specifically consider the manufacturing induced properties.
Fig. 3 The fitness of the generation in the genetic algorithm-based solution across time.
In this paper, for the first time, a new genetic algorithm-based solution method, which is a population-based algorithm, is proposed to solve the RBP.
For the first time, we proposed a new genetic algorithm-based solution method for the model, and several genetic search operators are used to find optimal solutions.
With a positive feedback mechanism through reinforcement of the previously favored solutions, algorithm-based ants are guided towards the solution of higher fitness like the social behavior of natural ants (Fig. 1).
Finally, genetic algorithm based solutions are compared with other existing approaches, both exact and heuristic, for solving this same problem.
A non-dominant cascade evolutionary algorithm-based methodology is adopted for the solution of the multi-objective optimization problem encountered, in order to obtain the global Pareto front curve.
Genetic programming, a specialization of genetic algorithms, is an evolutionary algorithm-based methodology that uses concepts of survival of the fittest for evolving a fit solution from an original population of random solutions [ 37].
The combination of algorithm-based prediction with a quick screening for MHC affinity provides a solution to this issue.
algorithm-based fault tolerance.
Research shows no evidence of algorithm-based matching being effective.
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