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In this paper, a new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms' strength. Some benchmark test functions are used(More)
Software development effort is one of the most important metrics that must be correctly estimated in software projects. Analogy-based estimation (ABE) and artificial neural networks (ANN) are the most popular methods used widely in this field. These methods suffer from inconsistent and irrelevant projects that exist in the software project datasets. In this(More)
The redundant components' nodes are widely used as design tactic to improve the reliability of complex embedded systems. The challenge is that; the obtained solution might not be sufficient because it demands high cost, and the system might be failed if the predicted cost does not estimated reasonably. Many publications have addressed this area to compose(More)
This paper presents the application of fuzzy set theory in multi criteria decision making (MCDM). Fuzzy Analytic Hierarchy Process (FAHP) technique will be used to rank alternatives to find the most reasonable and efficient use of river system. The overall aspects of river system including both qualitative and quantitative are emphasized. Four criteria and(More)
Particle Swarm Optimization (PSO) is one of the most widely used heuristic algorithms. The simplicity and inexpensive computational cost make this algorithm very popular and powerful in solving wide ranges of problems. However, PSO suffers two problems of trapping in local minima and slow convergence speed. Binary version of this algorithm has been(More)
Developing a system architecture that satisfies the functional requirements and keeping the quality attributes high is still an open challenge.The task of selecting the optimal combination and redundancy levels of components (which is known as RAP problem) that meet system-level constraints is hard since each one of these alternatives must be modeled in(More)
Molecular dynamics simulation has become an important tool for predicting and studying behavior of real materials. Utilisation of molecular dynamics simulations enabled researchers to not only decreases the amount of time to complete a project, but also potentially decrease the cost of research. One of the most exciting and difficult challenges in biology(More)
Middleware is a layer of the software that connects and manages application components running on distributed hosts. Several types of middleware are reflective middleware, event-based middleware, object-oriented middleware, and message-oriented middleware. Adaptive middleware is part of reflective middleware, that allows the system's behavior to be altered(More)
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