Multi-Objective Optimization Design for a Hybrid Energy System Using the Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Multi-Objective Optimization of Hybrid Renewable Energy System Using an Enhanced Multi-Objective Evolutionary Algorithm
Abstract: Due to the scarcity of conventional energy resources and the greenhouse effect, renewable energies have gained more attention. This paper proposes methods for multi-objective optimal design of hybrid renewable energy system (HRES) in both isolated-island and grid-connected modes. In each mode, the optimal design aims to find suitable configurations of photovoltaic (PV) panels, wind tu...
متن کاملMULTI-OBJECTIVE OPTIMIZATION OF TIME-COST-SAFETY USING GENETIC ALGORITHM
Safety risk management has a considerable effect on disproportionate injury rate of construction industry, project cost and both labor and public morale. On the other hand time-cost optimization (TCO) may earn a big profit for project stakeholders. This paper has addressed these issues to present a multi-objective optimization model to simultaneously optimize total time, total cost and overall ...
متن کاملA Hybrid Multi-Objective Genetic Algorithm for Topology Optimization
A new tool is developed in order to solve computationally expensive multi-objective topology optimization problems related to the design for flexible active and passive skins for morphing aircraft. The approach used is based on a multiobjective genetic algorithm coupled with a local search algorithm to create a hybrid multi-objective algorithm. The ability of the developed algorithm to find eff...
متن کاملA New Multi-objective Job Shop Scheduling with Setup Times Using a Hybrid Genetic Algorithm
This paper presents a new multi objective job shop scheduling with sequence-dependent setup times. The objectives are to minimize the makespan and sum of the earliness and tardiness of jobs in a time window. A mixed integer programming model is developed for the given problem that belongs to NP-hard class. In this case, traditional approaches cannot reach to an optimal solution in a reasonable...
متن کاملMulti-objective hybrid genetic algorithm for bicriteria network design problem
This paper considers the Bicriteria Network Design Problem (bNDP) with the two conflicting objectives of minimizing cost and maximizing flow. Network design problems where even one flow measure be maximized, are often NP-hard problems. But, in real-life applications, it is often the case that the network to be built is required to optimize multi-criteria simultaneously. Thus the calculation of ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Energies
سال: 2015
ISSN: 1996-1073
DOI: 10.3390/en8042924