In this paper we present a novel biased random-key genetic algorithm (BRKGA) for 2D and 3D bin packing problems. The … placement procedure with a genetic algorithm based on random keys. The BRKGA is used to evolve the order in which the boxes are …

comparative study is carried out among neural networks trained by imperialist competitive algorithm (ICA), genetic algorithm (GA …

This paper presents an adaptive evolutionary approach incorporating a hybrid genetic algorithm (GA) for public …

genetic algorithm, which alleviates both problems. The genetic algorithm is an approximation to checking all possible … partitionings. A simulation study shows that the genetic algorithm leads to better scaling results than the other two procedures …

the nonlinear model. Finally, we propose a genetic algorithm for the MIP model to illustrate how large scale problems can …

difficulty and cost will become a big issue. A physical model based optimization scheme by coupling MATLAB genetic algorithm (GA … the part-load calibrated GT-Power models using the Genetic Algorithm. After each speed–load point was optimized, the …

genetic algorithm-based learning algorithm is designed to determine the relative weights of respective criteria to derive the …

decisions at field scale. In view of the non-linearity and complexity of the problem, we used a genetic algorithm as …

-coded genetic algorithm is presented to solve the portfolio rebalancing problem. The approach adopted here has the advantage of …

combination of cardinality constraint, genetic algorithm, and fuzzy simulation, called FCTPM. …