automata (CA) urban growth model using a self-adaptive genetic algorithm (SAGA). Optimal calibration is achieved through an …

MTHVRPP is also NP-hard. This paper further proposes a genetic algorithm (GA) to solve this problem. The solution …

This paper gives the structure optimization of fuzzy control systems based on genetic algorithm in the MATLAB … environment. The genetic algorithm is a powerful tool for structure optimization of the fuzzy controllers, therefore, in this … paper, integration and synthesis of fuzzy logic and genetic algorithm has been proposed. The genetic algorithms are applied …

system locating and sizing is put forward based on the improved genetic algorithm. The optimized result shows that certain …

include: (1) population approaches, such as ant colony optimization (ACO), the genetic algorithm (GA), particle swarm …

no overlapping of blocks. The problem is a complex NP-hard combinatorial optimization, thus a heuristic based on genetic … algorithm is proposed to solve it. In this paper, we give a hybrid approach which combined genetic encoding and evolution scheme …

times on each machine, this paper develops a novel hybrid genetic algorithm (HGA) with three genetic operators. Proposed HGA …

neural network for predicting and the genetic algorithm for optimizing the input variable in the neural network. This … research has studied the efficiency of compound model, artificial neural network and genetic algorithm for predicting the stock … network and genetic algorithm, can accomplish the exact prediction and this model operate efficiently. …

-integer optimisation model, explain specific features of a genetic algorithm to solve the problem and report the results of a numerical …