Metaheuristic
Mostrando 1-12 de 76 artigos, teses e dissertações.
-
1. Methodology for minimum nitrogen compounds removal efficiencies estimation and wastewater treatment systems pre-selection: a watershed approach
RESUMO O nitrogênio constitui importante parâmetro para o controle da poluição hídrica, uma vez que a nitrificação produz consumo de oxigênio do ambiente aquático, além da toxicidade associada à algumas formas de nitrogênio. Este estudo estabeleceu e empregou modelo de otimização visando a determinação simultânea de eficiências mínimas de
RBRH. Publicado em: 17/10/2019
-
2. Mathematical Modeling and Parameter Estimation of Battery Lifetime using a Combined Electrical Model and a Genetic Algorithm
RESUMO Neste artigo é proposta uma metodologia baseada na meta-heurística Algoritmo Genético para estimar os parâmetros no modelo Chen e Rincón-Mora, sendo este aplicado na modelagem matemática do tempo de vida de baterias de Lítio-íon Polímero. O modelo também é parametrizado a partir da metodologia convencional, que necessita de dados obtidos po
TEMA (São Carlos). Publicado em: 06/06/2019
-
3. Optimization of location and forces of friction dampers
Abstract Damper optimization is a new area which has been investigated in recent years. There are various methods employed in optimization, among which are highlighted the classic and the most recent that are functioning with reliability, efficiency and speed for optimum results. This paper proposes a method for simultaneous optimization of placement and for
REM, Int. Eng. J.. Publicado em: 2017-09
-
4. A systematic literature review on the joint replenishment problem solutions: 2006-2015
Abstract Among all existing inventory replenishment models, this research was dedicated to the Joint Replenishment Problem (JRP), which consists in the replenishment of multiple items simultaneously, aiming total cost reduction. Literature has presented several optimal and approximated solutions to this problem, with different applications and techniques, wh
Prod.. Publicado em: 17/04/2017
-
5. Analysis of Linear Antenna Array for minimum Side Lobe Level, Half Power Beamwidth, and Nulls control using PSO
Abstract This paper presents the optimization performance of non-uniform linear antenna array with optimized inter-element spacing and excitation amplitude using Particle Swarm Optimization (PSO). The aim of the proposed algorithm is to obtain the optimum values for inter-element spacing and excitation amplitude for a linear antenna array in a given radiatio
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2017-04
-
6. Heat Transfer Search Algorithm for Sizing Optimization of Truss Structures
Abstract Heat transfer search (HTS) is a novel metaheuristic optimization algorithm that simulates the laws of thermodynamics and heat transfer. In this study, the HTS algorithm is adapted to truss structure optimization. Sizing optimization searches for the minimum weight of a structure subject to stress and displacement constraints. Three truss structures
Lat. Am. j. solids struct.. Publicado em: 2017-03
-
7. Enhanced Biogeography-based Optimization: A New Method for Size and Shape Optimization of Truss Structures with Natural Frequency Constraints
Abstract The current study presents an enhanced biogeography-based optimization (EBBO) algorithm for size and shape optimization of truss structures with natural frequency constraints. The BBO algorithm is one of the recently developed meta-heuristic algorithms inspired by the mathematical models in biogeography science and is based on the migration behavior
Lat. Am. j. solids struct.. Publicado em: 2016-07
-
8. A multiobjective metaheuristic approach for the integrated vehicle and crew scheduling
AbstractThe integrated vehicle and crew scheduling problem is a hard Combinatorial Optimization problem widely studied over the years. Taking into consideration the range of variables related to the planning process of vehicles and drivers, there are several practical characteristics of the problem that are not reflected in the solutions generated computatio
J. Transp. Lit.. Publicado em: 2016-06
-
9. Solving the Integrated Schedule Generation and Fleet Assignment Problem: an ACOBased Metaheuristic Approach
Abstract Traditionally, the initial steps on airline planning – Schedule Generation and Fleet Assignment problems – are solved separately. This traditional approach usually leads to suboptimal solutions, since flight profitability – the decision criteria to schedule a flight – depends on what aircraft type will be used on that flight. On the other ha
J. Transp. Lit.. Publicado em: 2015-09
-
10. PROJECT SCHEDULING OPTIMIZATION IN ELECTRICAL POWER UTILITIES
The problem of choosing from a set of projects which ones should be executed and whenthey should start, depending on several restrictions involving project costs, risks, limited resources, dependencies among projects, and aiming at different, even conflicting, goals is known as the project portfolio selection (PPS) problem. We study a particular version of t
Pesqui. Oper.. Publicado em: 2015-08
-
11. A comparative analysis of three metaheuristic methods applied to fuzzy cognitive maps learning
This work analyses the performance of three different population-based metaheuristic approaches applied to Fuzzy cognitive maps (FCM) learning in qualitative control of processes. Fuzzy cognitive maps permit to include the previous specialist knowledge in the control rule. Particularly, Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and an Ant Col
Pesqui. Oper.. Publicado em: 08/11/2013
-
12. Clustering search
This paper presents the Clustering Search (CS) as a new hybrid metaheuristic, which works in conjunction with other metaheuristics, managing the implementation of local search algorithms for optimization problems. Usually the local search is costly and should be used only in promising regions of the search space. The CS assists in the discovery of these regi
Pesqui. Oper.. Publicado em: 2013-04