Application of a fast and elitist multi-objective genetic algorithm to Reactive Power Dispatch [PDF]
Serbian Journal of Electrical Engineering, 2009 This paper presents an Elitist Non-Dominated Sorting Genetic Algorithm version II (NSGA-II), for solving the Reactive Power Dispatch (RPD) problem. The optimal RPD problem is a nonlinear constrained multi-objective optimization problem where the real ...
Subramanian Ramesh +2 more
doaj +1 more source
Minimizing the total tardiness and makespan in an open shop scheduling problem with sequence-dependent setup times [PDF]
, 2012 We consider an open shop scheduling problem with setup and processing times separately such that not only the setup times are dependent on the machines, but also they are dependent on the sequence of jobs that should be processed on a machine. A novel bi-
Noori-Darvish, Samaneh +1 more
core +1 more source
Optimal Bespoke CDO Design via NSGA-II [PDF]
Journal of Applied Mathematics and Decision Sciences, 2009 This research work investigates the theoretical foundations and computational aspects of constructing optimal bespoke CDO structures. Due to the evolutionary nature of the CDO design process, stochastic search methods that mimic the metaphor of natural biological evolution are applied.
Diresh Jewan +2 more
openaire +1 more source
Mathematics, 2023 In this study, a bi-objective optimization model was established to solve the cooperative distribution problem of a multi-center hybrid fleet by integrating reverse logistics under real-time road conditions.
Mengke Li, Yongkui Shi, Meiyan Li
doaj +1 more source
Approximate solutions in space mission design [PDF]
, 2008 In this paper, we address multi-objective space mission design problems. From a practical point of view, it is often the case that,during the preliminary phase of the design of a space mission, the solutions that are actually considered are not 'optimal'
C.A. Coello Coello +7 more
core +2 more sources
Multi-Objective Big Data Optimization with jMetal and Spark [PDF]
, 2017 Big Data Optimization is the term used to refer to optimization problems which have to manage very large amounts of data. In this paper, we focus on the parallelization of metaheuristics with the Apache Spark cluster computing system for solving multi ...
A Cabanas-Abascal +11 more
core +1 more source
A Non-dominated Sorting Ant Colony Optimization Algorithm Approach to the Bi-objective Multi-vehicle Allocation of Customers to Distribution Centers [PDF]
Journal of Optimization in Industrial Engineering, 2016 Distribution centers (DCs) play important role in maintaining the uninterrupted flow of goods and materials between the manufacturers and their customers.This paper proposes a mathematical model as the bi-objective capacitated multi-vehicle allocation of
Jafar Bagherinejad, Mina Dehghani
doaj +1 more source
Two-Stage Multi-Objective Meta-Heuristics for Environmental and Cost-Optimal Energy Refurbishment at District Level [PDF]
, 2019 Energy efficiency and environmental performance optimization at the district level are following an upward trend mostly triggered by minimizing the Global Warming Potential (GWP) to 20% by 2020 and 40% by 2030 settled by the European Union (EU) compared ...
Landa-Torres, Itziar +3 more
core +5 more sources
Comparison of Direct Multiobjective Optimization Methods for the Design of Electric Vehicles [PDF]
, 2006 "System design oriented methodologies" are discussed in this paper through the comparison of multiobjective optimization methods applied to heterogeneous devices in electrical engineering.
Fefermann, Yan +3 more
core +2 more sources
Integrated LI-NSGA-II Approach for Solving the Non-linear Multi-objective Optimization Problem
Austrian Journal of StatisticsReal-world engineering projects frequently involve complex, non-linear multi-objective optimization challenges. Traditional methods like PERT/CPM and basic heuristics often fail to provide optimal solutions in such scenarios.
Muskan Kapoor +2 more
doaj +1 more source