In order to find a novel method for solving the water resources scheduling problem more effectively, the strategies of supply chain management were introduced and the calculation model was established. Then, the artificial fish swarm algorithm was employed to solve this problem. To avoid the premature defect of the basic artificial fish swarm algorithm, the improved adaptive algorithm was propo...

Uncapacitated facility location problem (UFLP) is a combinatorial optimization problem, which has many applications. The artificial fish swarm algorithm has recently emerged in continuous optimization problem. In this paper, we present a simplified binary version of the artificial fish swarm algorithm (S-bAFSA) for solving the UFLP. In S-bAFSA, trial points are created by using crossover and mu...

Artificial Fish Swarm Algorithm (AFSA) is a kind of swarm intelligence algorithms which usually employs in optimization problems. There are many parameters to adjust in AFSA like visual and step. Through constant initializing of visual and step parameters, algorithm is only able to do local searching or global searching. In this paper, two new adaptive methods based on fuzzy systems are propose...

This paper assumes each user has more than one queue, derives a new packet dependent proportional fairness power allocation pattern based on the sum of weight capacity and the packet’s priority in users’ queues, and proposes 4 new schemes of cross-layer packet dependent OFDM scheduling for heterogeneous classes of traffic based on proportional fairness. Scenario 1, scenario 2 and scenario 3 lea...

Methods for edible oil quality detection mainly have conductivity and peroxide acid value, but as for currently blending edible detection, the effect of these methods is not satisfied. In this study, we propose a cluster algorithm based on artificial fish swarm improvement to detect edible oil by voltammetric electronic tongue. It can optimize the cluster centers value and the initial value. Th...

In order to meet customers’ demand for perceptual cognition of product form, this paper proposes method to optimize the design of product form based on supporting vector and artificial fish swarm algorithm. First, determine features of targets, representative samples and modeling design parameters for product perceptual design survey; and then, use supporting vector to obtain the mapping relati...

Artificial fish swarm algorithm (AFSA) is one of the swarm intelligence optimization algorithms that works based on population and stochastic search. In order to achieve acceptable result, there are many parameters needs to be adjusted in AFSA. Among these parameters, visual and step are very significant in view of the fact that artificial fish basically move based on these parameters. In stand...