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One of the noticeable topics in fuzzy logic controllers is parameter controllingof heuristic search algorithms. In this paper, one of the parameters of Gravitational Search Algorithm, GSA, is controlledusing fuzzy logic controller to achieve better optimization results and to increase convergence rate. Several experiments are performed and results are compared with the results of the original GSA...
The artificial bee colony algorithm is a novel simulated evolutionary algorithm. The artificial bee colony algorithm has positive feedback, distributed computation and a constructive greedy heuristic convergence. Back propagation is a kind of feed forward neural network widely used in many areas, but it has some shortcomings, such as low precision solutions, slow search speed and easy convergence...
Artificial Bee Colony(ABC) algorithm is a biological-inspired optimization algorithm, which has been shown to be compared with some conventional biological-inspired algorithms, such as Genetic Algorithm(GA), Particle Swarm Optimization(PSO) and Differential Evolution(DE). However, there exists problems such as premature convergence and trapping in local optimal. Inspired by DE, we propose an improved...
In this paper, the vehicle routing problem with fuzzy demands is studied, and a chance constrain programming model under the conditions of fuzzy information is built. Then, an improved tabu search algorithm is proposed for finding the vehicle routing with the lowest total mileage. In the selection of initial solution, a roulette heuristic algorithm is adopted to reduce the search range. The results...
In this paper, A Modified Differential Algorithm (MDE) developed to solve unconstrained problems. The MDE algorithm use pitch adjustment replaces the traditional mutation operation and design a dynamic method to adjust the crossover rate (CR). The former can enhance the convergence of the MDE, and the latter can effectively prevent the MDE from being trapped into the local optimum. Based on several...
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