In this paper, we present a new algorithm for routing order pickers in manual warehouses and optimizing the total distance covered. The proposed approach is an adaptation of the recent water wave optimization (WWO) algorithm, a nature-inspired algorithm based on the shallow water wave theory. The algorithm is tested on a rectangular 1-block warehouse, with 12 aisles and 45 storage locations per...

This paper presents the application of Water Wave Optimization Algorithm (WWOA) for solving economic dispatch problems including practical generator constraints. WWOA is inspired by the shallow water wave theory. The efficiency of the WWO Algorithm for solving economic dispatch problems is demonstrated by implementing it on three test systems having three, six and fifteen generating units with ...

This paper offers an H-infinity (H∞) controller-based disturbance rejection along with the utilization of water wave optimization (WWO) algorithm. H∞ controller is used to synthesize guaranteed performance certain applications as well it provides maximum gain at any situation. The proposed work focuses on conflicts continuous stirred-tank reactor (CSTR) such variation in temperature and product...

Detection of crop diseases is imperative for agriculture to be sustainable. Automated disease detection a major issue in the current agricultural industry due its cluttered background. Internet Things (IoT) has gained immense interest past decade, as it accumulates high level contextual information identify diseases. This study paper presents novel method based on Taylor-Water Wave Optimization...

Association rule mining (ARM) is one of the most important tasks in data mining. In recent years, swarm intelligence algorithms have been effectively applied to ARM, and main challenge has achieve a balance between search efficiency quality mined rules. As novel algorithm, water wave optimization (WWO) algorithm widely used for combinatorial problems, with disadvantage that it tends fall into l...

The aim of this study is to evaluate the ability soft computing models including multilayer perceptron- (MLP-) water wave optimization (MLP-WWO), MLP-particle swarm (MLP-PSO), and MLP-genetic algorithm (MLP-GA), simulate daily monthly reference evapotranspiration (ET) at Aidoghmoush basin (Iran). Principal component analysis (PCA) was used find best input combination lagged ETs. According resul...

Nowadays, cross-docking is one of the main concepts in supply chain management in which products received to a distribution center by inbound trucks which are directly to lead into outbound trucks with a minimum handling and storage costs as the main cost of a cross-docking system. According to the literature, several metaheuristics and heuristics are attempted to solve this optimization model....

Data mining is an appropriate way to discover information and hidden patterns in large amounts of data, where the hidden patterns cannot be easily discovered in normal ways. One of the most interesting applications of data mining is the discovery of diseases and disease patterns through investigating patients' records. Early diagnosis of diabetes can reduce the effects of this devastating disea...

Abstract The last years have seen a rapid growth of the takeaway delivery market, which has provided lot jobs for deliverymen. However, increasing numbers orders and corresponding pickup service points made order selection path planning key challenging problem to In this paper, we present integrating deliverymen, objective is maximize revenue per unit time subject maximum length, overdue penalt...