Mathematical Problems in Engineering

Evolutionary Algorithms and Metaheuristics: Applications in Engineering Design and Optimization


Publishing date
25 Aug 2017
Status
Published
Submission deadline
07 Apr 2017

1Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

2University of Jyväskylä, Jyväskylä, Finland

3Italian Aerospace Research Center (CIRA), Capua, Italy

4Politecnico do Porto, Porto, Portugal


Evolutionary Algorithms and Metaheuristics: Applications in Engineering Design and Optimization

Description

Evolutionary algorithms and metaheuristics are computational intelligence tools and techniques used as global optimizers due to their population based characteristics without requiring any requisite to the objective/fitness evaluation function (e.g, continuity, derivability, and convexity). They are also not limited by the appearance of discrete and/or mixed variables, nor by the requirement of uncertainty quantification in the search process (useful in reliability based optimization and robust design). The possibility of dealing with more than one objective function has been possible through the evolutionary multiobjective optimization algorithms. This set of advantages, accompanied by the improved performance of computers, is fostering their increased use in research and industry in a wide variety of engineering branches. These methodologies are enabling the improvement in engineering design and optimization in areas, where the classical optimization techniques were not able to deal with real engineering problems, where the aforementioned requisites and limitations are common. For example, that is the case of computational engineering applications (e.g, automotive industry, aeronautic and aerospace industry, and civil, structural, and mechanical engineering), where the objective function/s values require the resolution of numerical modeling based on finite elements, boundary elements, finite volumes, and so on.

The potential advances in the use of evolutionary algorithms and metaheuristics in engineering applications bring an opportunity and also a challenge for researchers to improve and advance in design and optimization of products, systems, and services for societal benefit. The purpose of this special issue is to publish high-quality research articles as well as reviews that seek to address recent development from a variety of engineering fields relating to the application of evolutionary algorithms and metaheuristics for design and optimization and that will stimulate the continuing efforts to improve the current state of the art on the aforementioned field.

The proposal and application of recent and new algorithms (belonging to paradigms, e.g., genetic algorithms, evolution strategies, differential evolution, and particle swarm) as well as focus on development aspects, such as including surrogate modeling, parallelization, game theory, and hybridization, are encouraged. Advances of these methods for engineering applications are welcomed, both for single-objective and multiobjective optimization problems.

Potential topics include but are not limited to the following:

  • Aerospace and aeronautical engineering
  • Biomedical engineering
  • Chemical engineering
  • Civil engineering
  • Electrical engineering
  • Electronics engineering
  • Industrial engineering
  • Mechanical engineering
  • Naval architecture
  • Reliability engineering
  • Structural engineering
  • Telecommunications engineering

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 2793762
  • - Editorial

Evolutionary Algorithms and Metaheuristics: Applications in Engineering Design and Optimization

David Greiner | Jacques Periaux | ... | Blas Galván
  • Special Issue
  • - Volume 2017
  • - Article ID 9897153
  • - Research Article

MOQPSO-D/S for Air and Missile Defense WTA Problem under Uncertainty

Hao Xu | Qinghua Xing | Zhenhao Tian
  • Special Issue
  • - Volume 2017
  • - Article ID 8509783
  • - Research Article

Optimal Routing and Scheduling of Charge for Electric Vehicles: A Case Study

J. Barco | A. Guerra | ... | N. Quijano
  • Special Issue
  • - Volume 2017
  • - Article ID 4627856
  • - Research Article

Mode-Based versus Activity-Based Search for a Nonredundant Resolution of the Multimode Resource-Constrained Project Scheduling Problem

Daniel Morillo | Federico Barber | Miguel A. Salido
  • Special Issue
  • - Volume 2017
  • - Article ID 3046830
  • - Review Article

Bee-Inspired Algorithms Applied to Vehicle Routing Problems: A Survey and a Proposal

Thiago A. S. Masutti | Leandro N. de Castro
  • Special Issue
  • - Volume 2017
  • - Article ID 4723863
  • - Research Article

Memetic Computing Applied to the Design of Composite Materials and Structures

Jose Ignacio Pelaez | Jose Antonio Gomez-Ruiz | ... | Patricia Witt
  • Special Issue
  • - Volume 2017
  • - Article ID 1406292
  • - Research Article

A GODFIP Control Algorithm for an IRC Grain Dryer

Aini Dai | Xiaoguang Zhou | Xiangdong Liu
  • Special Issue
  • - Volume 2017
  • - Article ID 1670709
  • - Research Article

A Parallel Biased Random-Key Genetic Algorithm with Multiple Populations Applied to Irregular Strip Packing Problems

Bonfim Amaro Júnior | Plácido Rogério Pinheiro | Pedro Veras Coelho
  • Special Issue
  • - Volume 2017
  • - Article ID 7076583
  • - Research Article

Research on Optimized Torque-Distribution Control Method for Front/Rear Axle Electric Wheel Loader

Zhiyu Yang | Jixin Wang | ... | Xiangyun Shi
  • Special Issue
  • - Volume 2017
  • - Article ID 4703106
  • - Research Article

A Simulated Annealing Approach for the Train Design Optimization Problem

Federico Alonso-Pecina | David Romero
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate29%
Submission to final decision66 days
Acceptance to publication35 days
CiteScore1.800
Impact Factor1.009
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