The optimal design of a plate-fin recuperator of a 200-kW microturbine was studied in this paper. The exergy efficiency, pressure drop and total cost were selected as the three important objective functions of the recuperator. Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm (NSGA-II) were respectively employed for single-objective and multi-objective optimizations. By opt...

This paper describes the application of the recently developed metaheuristic algorithm for simultaneous analysis, design and optimization of Water Distribution Systems (WDSs). In this method, analysis is carried out using Colliding Bodies Optimization algorithm (CBO). The CBO is a population-based search approach that imitates nature’s ongoing search for better solutions. Also, design and cost ...

This paper proposes a modified sine cosine algorithm (MSCA) for discrete sizing optimization of truss structures. The original sine cosine algorithm (SCA) is a population-based metaheuristic that fluctuates the search agents about the best solution based on sine and cosine functions. The efficiency of the original SCA in solving standard optimization problems of well-known mathematical function...

The present study considers a distributed cooperative approach for network problems where agents have personal preferences over outcomes. Such problems can be described by Asymmetric Constraints where the joint action of agents yields different gains to each participant Grubshtein et al. [2010]. The proposed method constructs and solves an Asymmetric Distributed Constraints Optimization Problem...

this study is investigated the optimum parameters for a tuned mass damper (tmd) under the seismic excitation. shuffled complex evolution (sce) is a meta-heuristic optimization method which is used to find the optimum damping and tuning frequency ratio for a tmd. the efficiency of the tmd is evaluated by decreasing the structural displacement dynamic magnification factor (ddmf) and acceleration ...

introduction: the appropriate-use optimization of the limited spaces of the iranian hospitals is believed to be a crucial step towards promoting the efficiency of these healthcare centers. the issue determining the optimization patterns of the layout of units has led to a lot of efforts by researchers as it increases the efficiency of the hospitals through patients’ improvement, changing the lo...

In response to the severe energy-saving and emission-reduction situation, it is of great practical significance reduce fuel consumption ships’ main engines carbon dioxide emissions, realize emission reduction ships. this study, We use particle swarm optimization algorithm optimize analyze energy ships based on data during navigation, test efficiency through ship operation index. The results pre...