in today's globalization, an effective integration of production and distribution plans into a unified framework is crucial for attaining competitive advantage. this paper addresses an integrated multi-product and multi-time period production/distribution planning problem for a two-echelon supply chain subject to the real-world variables and constraints. it is assumed that all transportations a...

this paper presents an innovative active power filter design method to simultaneously compensate the current harmonics and reactive power of a nonlinear load. the power filter integrates a passive power filter which is a rl low-pass filter placed in series with the load, and an active power filter which comprises an rl in series with an igbt based voltage source converter. the filter is assumed...

This work proposes a load allocation decision strategy based on deterioration prognostics information for multi-stack fuel cell systems. The is characterized by the overall resistance value, as it carries key aging of cell. dynamics then modeled an increasing stochastic process whose trend function output power. Combining system and consumption, multi-objective optimization (MOO) decision-makin...

Multi-modal multi-objective optimization problems (MMMOPs) have multiple subsets within the Pareto-optimal Set, each independently mapping to same Pareto-Front. Prevalent evolutionary algorithms are not purely designed search for solution subsets, whereas, MMMOPs demonstrate degraded performance in objective space. This motivates design of better addressing MMMOPs. The present work identifies c...

Wind energy is an abundant renewable resource that has been extensively used worldwide in recent years. The present work proposes a new Multi-Objective Optimization (MOO) based genetic algorithm (GA) model for wind system. proposed consists of non-dominated sorting which focuses to maximize the power extraction turbine, minimize cost generating energy, and lifetime battery. Additionally, perfor...

The satellites scheduling mission play an effective role in enhancing the of ground station control and monitoring systems. In this search, SGSEO is re-formulated into a multi-objective optimization task. Therefore, Gravitational Search Algorithm GSA exploited to attain several essential objectives for generating tight scheduling. Moreover, particle swarm model PSO consolidated with novel form ...