1. M.Basu, “Dynamic economic emission dispatch using non-dominated sorting genetic algorithm-II,” Electrical power and Energy systems 30 (2008) 140-149. 2. Li xuebin , “Study of multi-objective optimization and multi-attribute decision-making for dynamic economic emission dispatch,” Electric power components and systems, vol. 37: pp 1133-1148, 2009. 3. Elaiw A.M., Xia X,.Shehata A.M, “ Hydrid D...

Despite a large number of advantages, Torque Ripple (TR) is the most important drawback of Switched Reluctance Motor (SRM). In the presented study, TR was reduced by optimizing the gate pulse angle of the SRM phase which played a leading role in the generated torque profile. For the Optimization, one of the strategies of Genetic Algorithm (GA) which was named Non-dominated Sorting Genetic Algor...

This paper presents a Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) for the optimal operation of a complex multipurpose and multi-reservoir system. Firstly, MOEA/D decomposes a multi-objective optimization problem into a number of scalar optimization sub-problems and optimizes them simultaneously. It uses information of its several neighboring sub-problems for optimizin...

In this paper multi-objective genetic algorithms were employed for Pareto approach optimization of turboprop engines. The considered objective functions are used to maximize the specific thrust, propulsive efficiency, thermal efficiency, propeller efficiency and minimize the thrust specific fuel consumption. These objectives are usually conflicting with each other. The design variables consist ...

Increasing economy’s resistance against the menace of sanctions, various risks, shocks, and internal and external threats are one of the main national policies which can be implemented through bank investments. Investment project selection is a complex and multi-criteria decision-making process that is influenced by multiple and often some conflicting objectives. This paper studies portfolio inve...

Regarding the complicated flexible job-shop scheduling problem, it is not only required to get optimal solution of problem but also ensure low-carbon and environmental protection. Based on NSGA-II algorithm, this article proposes an improved adaptive non-dominated sorting genetic algorithm with elite strategy (IA-NSGA-ES). Firstly, constructive heuristic introduced in initial population phase, ...

Minimizing the makespan is an important research topic in manufacturing engineering because it accounts for significant production expenses. In bakery manufacturing, ovens are high-energy-consuming machines that run throughout time. Finding optimal combination of and oven idle time decisive objective space can result substantial financial savings. This paper investigates hybrid no-wait flow sho...