This paper presents a filter-based artificial fish swarm algorithm for solving nonconvex constrained global optimization problems. Convergence to an ε-global minimizer is guaranteed. At each iteration k, the algorithm requires a (ρ(k),ε(k))-global minimizer of a bound constrained bi-objective subproblem, where as k→ ∞, ρ(k)→ 0 gives the constraint violation tolerance and ε(k)→ ε is the error bo...

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

where the coefficients pi, ai(i = 1, 2, . . . , n) and pij(i = 1, 2, . . . , n − 1, j = i + 1, . . . , n) are positive integers and b is an integer such that max{ai : i = 1, 2, . . . , n} ≤ b < ∑n i=1 ai. Here pi is a profit achieved if item i is selected and pij is a profit achieved if both items i and j (j > i) are selected. The goal is to find a subset of n items that yields maximum profit f...

one of the main aims of water resource planners and managers is to estimate and predict the parameters of groundwater quality so that they can make managerial decisions. in this regard, there have many models developed, proposing better management in order to maintain water quality. most of these models require input parameters that are either hardly available or time-consuming and expensive to...

Due to the ill-conditioned problem caused by inefficient discretization approaches, it is difficult for the traditional rough set theory to extract accurate rules. And the continuous value needs to be discretized in the process of rule extraction. Then in this paper, a method based on clustering Artificial Fish-Swarm Algorithm (AFSA) and rough set theory is proposed to extract decision rules. F...

In this paper, a novel hybrid glowworm swarm optimization (HGSO) algorithm is proposed. Firstly, the presented algorithm embeds predatory behavior of artificial fish swarm algorithm (AFSA) into glowworm swarm optimization (GSO) algorithm and combines the improved GSO with differential evolution (DE) on the basis of a two-population co-evolution mechanism. Secondly, under the guidance of the fea...