This paper presented a parallel hybrid electric vehicle (HEV) equipped with a hybrid energy storage system. To handle complex energy flow in the powertrain system of this HEV, a fuzzy-based energy management strategy was established. A chaotic multi-objective genetic algorithm, which optimizes the parameters of fuzzy membership functions, was also proposed to improve fuel economy and HC, CO, an...

The evolutionary approach in the design optimisation of MEMS is a novel and promising research area. The problem is of a multi-objective nature; hence, multi-objective evolutionary algorithms (MOEA) are used. The literature shows that two main classes of MOEA have been used in MEMS evolutionary design Optimisation, NSGA-II and MOGA-II. However, no one has provided a justification for using eith...

Optimal design problem are widely known by their multiple performance measures that are often competing with each other. In this paper, an optimal multiproduct batch chemical plant design is presented. The design is firstly formulated as a multiobjective optimization problem, to be solved using the well suited non dominating sorting genetic algorithm (NSGA-II). The NSGA-II have capability to ac...

کاهش هزینه‏‌های مرتبط با موجودی از مهم‌ترین استراتژی‌‏های هر بنگاه اقتصادی برای بقا و سوددهی در شرایط رقابتی امروزی است. این راستا مدل‏‌های کلاسیک هزینه‏‌ها مطرح شده‌اند؛ اما کنار مزایای فراوان دارای فرضیه‌های محدودکننده‌ای هستند. پژوهش، یک زنجیره سه­‌سطحی لجستیکی شامل تولیدکننده، توزیع‌‏کننده خرده‏‌فروش نظر گرفته می‏‌شود مسئله بهینه‌سازی مدل توزیع‌کننده موردبررسی قرار می‏‌گیرد. موردنظر، توزیع‏...

To solve single and multi-objective optimization problems, evolutionary algorithms have been created. We use the non-dominated sorting genetic algorithm (NSGA-II) to find Pareto front in a two-objective portfolio query, its extended variant NSGA-III three-objective problem, this article. Furthermore, both we quantify Karush-Kuhn-Tucker Proximity Measure (KKTPM) for each generation determine how...

using new approaches to optimize the process of power transmission line routing can solve many complex problems which power transmission line routing decision-makers are faced. due to the expansion of involved parameters we can consider multi-objective evolutionary algorithms as appropriate method in this area. in this thesis with using multi-objective evolutionary algorithms nsga-ii and offere...