GA-based approach algorithm is used to generate the pilot sequence, as well.
By using a Bayesian network based approach the POBN algorithm is able to identify both linear and nonlinear relationships.
For the first task, we propose a simple heuristic based decision process, and for the second task, we developed a Genetic Algorithm (GA) based approach that is applied repeatedly for re-optimization as each new order arrives.
A niched Pareto genetic algorithm based approach is utilized to optimize a heat pipe with axial "Ω -shaped micro grooves.
An evolutionary algorithm based approach is presented to address the problem of designing flexible and cost-effective multi-product biopharmaceutical facilities.
A genetic algorithm based approach is developed to optimise fixture layout through integrating a finite element code running in batch mode to compute the objective function values for each generation.
A niched Pareto genetic algorithm based approach is used to determine sets of methods, tools and technologies, applicable both in the design and in the production phase, allowing to simultaneously minimize the total cost and maximize the total pollutant emission reduction.
For the optimization, Teaching learning Algorithm based approach has been employed to obtain the minimum kerf deviation at bottom and top sides.
In this paper, a strength Pareto evolutionary algorithm (SPEA) based approach is proposed for designing an integrated fuzzy guidance law which consists of three fuzzy controllers.
A Genetic Algorithm (GA) based approach is proposed to choose the initial values of the dilation and the translation parameters of the wavelet and thus to increases the training speed and convergence rate of the proposed control scheme, since the BP convergence rate depends on the selection of the initial values of the network parameters.
In addition to the convex relaxation techniques, a genetic-algorithm- (GA-) based approach is proposed, which does not need any approximations or integer relaxations.
