One of the main problems attracted researchers' attentions in recent years is Vehicle Routing Problem (VRP). This paper tends to minimize the covered distance, total travelling time, number of vehicles, delay and transportation costs, and to maximize consumers' satisfaction by utilizing...

Tabu search is a greatly successful metaheuristics, as illustrated through numerous publications showing its use for a range of difficult optimization problems. The tabu search literature is to a certain degree characterized by papers introducing new variations of the search, either presenting...

The primary objective of software testing is to locate bugs as many as possible in software by using an optimum set of test cases. Optimum set of test cases are obtained by selection procedure which can be viewed as an optimization problem. So metaheuristic optimizing (searching) techniques have...

The purpose of this research was to investigate the relationships with storage location assignment and location of I/O points in details in the warehouse operation planning. Dedicated storage warehouse design and three different allocation methods (throughput-to-storage ratios, space-filling...

The QWERTY keyboard layout can be very inefficient for one-finger typing on virtual keyboards since the letters in many common digrams are placed on opposite sides of the keyboard, resulting in a long finger travel. This paper reports on use of simulated annealing for finding alternate...

PSO being a swarm based algorithm, can efficiently lend itself to operate on huge data. This article presents a technique that performs classification using PSO. An initial discussion is carried out describing PSO as a classifier. Three variants of PSO are proposed here; the first variant...

In this paper novel method is proposed using hybrid of Genetic Algorithm (GA) and Back Propagation (BP) Artificial Neural Network (ANN) for learning of classification of user queries to cluster for effective Personalized Web Search. The GA- BP ANN has been trained offline for classification of...

Parallel machine scheduling problems are classified as NP-hard problems. The direct solutions for these problems are not available and meta-heuristic algorithms are required to be used to find near-optimal solutions. In this paper, the formulations of multi-objective Artificial Bee Colony...

This article describes how modeling is an integral part of design and development of any system that provides the theoretical characterization of the system and helps in understanding the relations between various parameters of the system, before the system is developed. The capability of an...

Disease prediction is often characterized by a high degree of fuzziness and uncertainty. This may reside in the imperfect and complex nature of symptoms that aids in diagnosis.. For precise rice disease diagnosis, domain knowledge of expertise pathologists along with clinically screened database...