in this article, multiple-product pvrp with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. a mathematical formulation was provided for this problem. each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. to solve the problem, two meta-heuristic methods...

Association Rule Mining(ARM) is one of the most significant and active research areas in data mining. Recently, Whale Optimization Algorithm (WOA) has been successfully applied field mining, however, it easily falls into local optimum. Therefore, an improved WOA based adaptive parameter strategy Levy Flight mechanism (LWOA) to mine association rules. Meanwhile, a hybrid that blends two algorith...

In order to improve the shortcomings of whale optimization algorithm (WOA) in dealing with problems, and further accuracy stability WOA, we propose an enhanced regenerative based on gravity balance (GWOA). initial stage, nonlinear time-varying factor inertia weight strategy are introduced change foraging trajectory exploration range, which improves search efficiency diversity. random walk stage...

<p>The Whale Optimization Algorithm (WOA) has the characteristics of simple implementation and few adjustment parameters, which is remarkable in optimization algorithm. However, there are shortcomings such as premature convergence, slow convergence later period, low search accuracy. For these shortcomings, a novel Brownian motion-based hybrid whale algorithm (HWOA) proposed. The strategy ...

The whale optimization algorithm (WOA) is a metaheuristic based on swarm intelligence and it mimics the hunting behavior of whales. It has imperfection premature convergence into local optima. In order to overcome this disadvantage, multioperator WOA (MOWOA) proposed. Four main strategies are introduced MOWOA heighten search capacity WOA. include nonlinear adaptive parameter design, an explorat...

Blind source separation technique separates mixed signals blindly without any information on the mixing system. In this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. In these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. In order to evalu...

The wireless sensor network (WSN) is an essential technology of the Internet Things (IoT) but has problem low coverage due to uneven distribution nodes. This paper proposes a novel enhanced whale optimization algorithm (WOA), incorporating Lévy flight and genetic mechanism (WOA-LFGA). technique bolsters global search ability convergence speed WOA, while enhances its local random capabilities. W...