In this paper power quality of 3-bus solar-based hybrid system has been presented (where one or more than distribution generator unit is connected to the grid). The injection solar into grid-connected systems creates problems such as current consistency, electrical fluctuations, and inefficient demand. A control strategy based on a real-time self-regulation method for autonomous microgrid opera...

This study focusses on a two objective type-2 simple assembly line balancing problem. Its primary is minimizing the cycle time, or equivalently, maximizing production rate of line. Minimization workload imbalance among workstations considered as secondary objective. Since problem known to be intractable, reactive tabu search algorithm proposed for solution. Although well-known meta-heuristic pr...

Energy consumption has been increasing steadily due to globalization and industrialization. Studies have shown that buildings are responsible for the biggest proportion of energy consumption; for example in European Union countries, energy consumption in buildings represents around 40% of the total energy consumption. In order to control energy consumption in buildings, different policies have ...

Building energy efficiency and management provides remarkable automation opportunities, which fulfills dwellers comfort index. The challenging issue of the building envelope is to save energy and achieve high comfortable environment simultaneously. In this study, control system behavioral model with its framework has been developed for smart buildings. The power consumption of the actuator syst...

Elitism and sharing are two mechanisms that are believed to improve the performance of a multiobjective evolutionary algorithm (MOEA). Using a new empirical inquiry framework, this paper studies the effect of elitism and sharing design choices using a benchmark suite of two-criterion problems. Performance is assessed, via known metrics, in terms of both closeness to the true Pareto-optimal fron...

-This paper presents a multiobjective genetic algorithm (MOGA)to solve the train crew pairing problem in railway companies. The proposed MOGA has several features, such as 1) A permutation-based model is proposed rather than the 0-1 set partition model. 2) Instead of pre-assigning a fixed group number of crewmembers, the proposed method can determine it by performing the evolutionary process. 3...