The phase equilibrium modeling for multi-component systems is essential in process systems engineering. In particular, phase stability analysis, Gibbs free energy minimization and estimation of parameters in thermodynamic models are challenging global optimization problems involved in phase equilibrium calculations and modeling for both reactive and non-reactive systems. To date, many significa...

Motivation: Computer modeling of protein-ligand interactions is one of the most important phases in a drug design process. The core part of this modeling is a resolution of a global unconstrained optimization problem. This paper presents a comparative computational experiments aimed at studying the efficiency of the different optimization methods applied to the docking problem. We present exper...

This work provides a case-study of how metaheuristic optimization algorithms can be developed using a domain-specific language as a separate modeling layer. A separation of the modeling process from the implementation of the algorithmic concepts improves the communication and collaboration of practitioners, optimization experts and programmers. This is achieved by providing a higher level of ab...

in this paper, the application of neural networks for simulation and optimization of the cogeneration systems has been presented. cgam problem, a benchmark in cogeneration systems, is chosen as a casestudy. thermodynamic model includes precise modeling of the whole plant. for simulation of the steadysate behavior, the static neural network is applied. then using dynamic neural network, plant is...

common heat transfer fluids such as water, ethylene glycol, and engine oil have limited heat transfer capabilities due to their low heat transfer properties. nanofluids are suspensions of nanoparticles in base fluids, a new challenge for thermal sciences provided by nanotechnology. in this study, we are to optimize and report the effects of various parameters such as the ratio of the thermal co...

..................................................................................................................... vii CHAPTER 1: INTRODUCTION ........................................................................................1 1.1 THESIS FOCUS .....................................................................................................1 1.2 MATHEMATICAL MODELING INTRODUCTION .....

Algebraic modeling languages (AMLs) have drastically simplified the implementation of algebraic optimization problems. However, there are still many classes of optimization problems that are not easily represented in most AMLs. These classes of problems are typically reformulated before implementation, which requires significant effort and time from the modeler and obscures the original problem...

Planning robot trajectory is a complex task that plays a significant role in design and application of robots in task space. The problem is formulated as a trajectory optimization problem which is fundamentally a constrained nonlinear optimization problem. Open-loop optimal control method is proposed as an approach for trajectory optimization of cable parallel manipulator for a given two-end-po...

The application of genetic algorithms in a physical problem of modeling of isolated atomic clusters is the topic of our research. Evolutionary algorithms are a mechanism of the global optimization learning about the solution of the search space. This mechanism plays the role of giving the candidates to global optima. We can use the local optimization in the evolutionary process to improve the e...