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The following topics are dealt with: computer modeling; computer simulation; intelligent systems; hybrid soft computing; methodologies, tools and operational research; bio-informatics and bio-medical simulation; discrete event and real-time simulation; image, speech and signal processing; industry, business and management; human factors and social issues; engineering, manufacturing and control; energy,...
Discrete event simulation technologies have been up and down as global manufacturing industries went through radical changes. The changes have created new problems, challenges and opportunities to the discrete event simulation. On manufacturing applications, it is no longer an isolated model but the distributed modeling and simulation along the supply chain. In order to study the hybrid manufacturing...
The demands of modern applications for ever increasing performance for real-time simulations have posed considerable challenges to simulation developers which are still not fully met. An effective response to these challenges has involved an interesting combination of a return to old-style programming techniques such as multi-rate simulation and low-level program design with a focus on individual...
Some problems are known to have computationally demanding objective function, which could turn to be infeasible when large problems are considered. Therefore, fast approximations to the objective function are required. This paper employs portfolio of intelligent systems algorithms for optimising a metal reheat furnace scheduling problem. The proposed system has been evaluated for different techniques...
Many systems of automation, energy management, and security for housings and buildings exist nowadays, and the determination of the most appropriate one depends on multiple factors. This work, based on a previous analysis, presents a fuzzy model that allows evaluating these different systems in order to choose automatically one of them. The model considers the most outstanding factors for the selection...
The paper addresses the issues of parameter selection of a particle swarm optimization algorithm by a thorough stability analysis of the swarm dynamics. The effectiveness of the work lies in considering the dynamic behavior of the local and the global best particle positions, which usually are treated as constant in the existing analysis. The behavior of an individual particle here is modeled as a...
The paper proposes three alternative extensions to the classical global-best particle swarm optimization dynamics, and compares their relative performance with the classical particle swarm optimization algorithm. The first extension, which readily follows from the well-known Lyapunov's stability theorem, provides a mathematical basis of the particle dynamics with a guaranteed convergence at an optimum...
Model parameters optimisation is a very common problem when dealing with mathematical models. These models are often designed from theoretical considerations on the physics phenomena and afterwards adapted in order to fit the experimental data that are collected on the real operating scenario. The paper compares different approaches to the problem of finding the optimal values of four parameters characterising...
This paper presents investigations into the development of control schemes for end-point vibration suppression and input tracking of a flexible manipulator. A constrained planar single-link flexible manipulator is considered and the dynamic model of the system is derived using the assumed mode method. To study the effectiveness of the controllers, initially a Linear Quadratic Regulator (LQR) is developed...
This paper deals with numerical approach to modeling of atmospheric dispersion of pollutant caused by a point source. The modeling of a pollution in the atmosphere has a long history and has gone throw great improvements over the last century. Two main methods can be distinguished from the modeling point of view: the analytical and the numerical methods. Both methods have their advantages and disadvantages,...
In this paper, a novel approach of two-tier encryption is proposed with the removal of noise generated during transmission based on Hopfield neural networks (HNN). The proposed system reduces the complexity of recognition of characters due to external distortion or diffusion. Though there are many error correction and detection codes, these codes request retransmission when there is an error. If the...
Component selection is a crucial problem in component based software engineering (CBSE). CBSE is concerned with the assembly of pre-existing software components that leads to a software system that responds to client-specific requirements. We are approaching the component selection problem. We formulate the problem as multiobjective, involving 2 objectives: the number of used components and the cost...
The problem of optimal channel assignment has become increasingly important because of available frequency spectrum and increasing demand for cellular communication services. This has been shown to be an Np complete optimization problem. Many heuristic approaches including neural network, simulated annealing and genetic algorithm have been used to solve it. In this paper we propose a novel and efficient...
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