For rack-mounted electronics, flow distribution is desired as per the heat load characteristics. In literature, attainment of uniformity through manifolds highlighted and widely discussed it has more applications. To attain distribution, complexity problem increases. present paper, Design Experiments (DOE) along with response surface optimization used to arrive at flow, which includes uniform a...

Voltage stability has become an important issue in planning and operation of many power systems. Contingencies such as unexpected line outages in a stressed system may often result in voltage instability, which may lead to voltage collapse. This paper presents evolutionary algorithm techniques like Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm II (NSGA II) approach for solv...

* R & D Center for Intelligent Systems, King Mongkut’s Institute of Technology North Bangkok. ** Department of Computing and Electrical Engineering, Heriot-Watt University, Edinburgh, United Kingdom Abstract This paper presents the use of neural networks and a genetic algorithm in time-optimal control of a closed-loop 3-dof robotic system. Extended Kohonen networks which contain an additional l...

In this study, optimization of Qeshm power and water desalting cogeneration plant has been investigated. The objective functions are related to maximizing exergetic efficiency and minimization of exergoeconomic and exergoenvironmental parameters. Also, the integration of RO desalination with the existing plant has been evaluated based on these analyses. This plant includes two MAPNA 25 MW gas t...

A novel bi-objective multi-server location-allocation (LA) model is developed in this paper, in which the facilities are modeled as an M/M/m queuing system. Further, capacity and budget limitations are provided to make the LA problem more realistic. The two objective functions include (1) minimizing aggregate waiting times and (2) minimizing the maximum idle time of all facilities. Since the pr...

The use of a suitable modeling technique for the optimized design magnetic gear is essential to simulate its electromagnetic behavior and predict satisfactory performance. This paper presents optimization an axial flux (AFMG) using two-dimensional (2D) equivalent circuit model (MEC) Multi-objective Genetic Algorithm (MOGA). proposed MEC configured as meshed reluctance network (RN) with permanen...

delivering perishable products to customers as soon as possible and with the minimum cost has been always a challenge for producers and has been emphasized over recent years due to the global market becoming more competitive. in this paper a multi-objective mix integer non-linear programming model is proposed to maximize both profits of a distributer and the total freshness of the several produ...

this paper uses integrated data envelopment analysis (dea) models to rank all extreme and non-extreme efficient decision making units (dmus) and then applies integrated dea ranking method as a criterion to modify genetic algorithm (ga) for finding pareto optimal solutions of a multi objective programming (mop) problem. the researchers have used ranking method as a shortcut way to modify ga to d...