Search-based optimization methods have been used for software engineering activities such as software testing. In the field of software testing, search-based test data generation refers to application of meta-heuristic optimization methods to generate test data that cover the code space of a program. Automatic test data generation that can cover all the paths of software is known as a major cha...

Template matching is a widely used technique in many of image processing and machine vision applications. In this paper we propose a new as well as a fast and reliable template matching algorithm which is invariant to Rotation, Scale, Translation and Brightness (RSTB) changes. For this purpose, we adopt the idea of ring projection transform (RPT) of image. In the proposed algorithm, two novel s...

Wireless sensor networks have been deployed for many applications such as surveillance an area or a set of targets and lifetime maximization is one the most important challenges in wireless sensor networks. When a set of sensor nodes dropped into a field by aircraft or manually to monitor a set of targets, scheduling sensor nodes to monitor deployed targets is necessary to prolong network lifet...

The paper proposes a novel evolutionary optimization approach of solving a multi-robot stick-carrying problem. The problem refers to determine the time-optimal trajectory of a stick, being carried by two robots, from a given starting position to a predefined goal position amidst static obstacles in a robot world-map. The problem has been solved using a new hybrid evolutionary algorithm. Hybridi...

In this study, solutions for machinery layout with the aim of reducing transportation costs will be discussed. To do this, imperialist competitive algorithm (ICA), which is a very complicated and effective meta-heuristic algorithm is introduced. In the offered algorithm, different kinds of machinery layout are considered in single-row as country and then the best possible layout is developed ba...