Mathematical Problems in Engineering

Classical and Hybrid Optimization Approaches and Their Applications in Engineering and Economics


Status
Published

Lead Editor

1Universiti Teknologi PETRONAS, Tronoh, Malaysia

2METU, Ankara, Turkey

3HCMC University of Technology, Ho Chi Minh City, Vietnam


Classical and Hybrid Optimization Approaches and Their Applications in Engineering and Economics

Description

Classical optimization and, more recently, hybrid optimization have been successfully applied to many aspects of engineering and economics. For example, as reported in the literature, gravitational search algorithm, genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), and several hybrid swarm evolutionary algorithms have been adopted to handle complex and uncertain real world optimization problems. On the other hand, advances in hybrid optimization techniques are an important section in engineering and economics and also assist optimization algorithm experts to develop better methods. In order to bridge the concepts and methodologies from the two ends, this special issue concentrates on the related topics of integrating and utilizing algorithms in hybrid computational intelligent techniques and their applications in engineering and economics. The hybrid systems can be a hybrid among the classical methods between the classical methods and artificial intelligence based methods or among the artificial intelligence based methods. It provides the opportunity for practitioners to hand their complicated real world issues by using hybrid optimization methodologies and for researchers to realize the significant contribution to the body of the knowledge and look into future directions.

This special issue aims at providing a forum for adopting the state-of-the-art hybrid optimization techniques in engineering and economics, developing the advanced hybrid optimization techniques by using meta-heuristics approaches, exchanging of related ideas, and discussing the future directions. A special attention will be paid to the exchange between comparison and combination of the classical, more mathematical, and model-based methods of optimization and the many emerging model-free methods from computer science. Herewith, we aim to strengthen the mathematical and engineering sciences and to contribute to industries, economies, and living conditions on earth. We invite researchers to submit their original and unpublished work.

Potential topics include, but are not limited to:

  • Classical optimization methods of mathematics and their applications in engineering and economics
  • Continuous optimization applications in engineering and economics
  • Combinatorial optimization applications in engineering and economics
  • Mixed-integer programming applications in engineering and economics
  • Hybrid optimization with metaheuristics techniques Multiobjective hybrid optimization approachesHandling uncertainties with hybrid optimization
  • Langrage optimization
  • Kuhn-Tucker optimization
  • Chaotic hybrid optimization
  • Linear and nonlinear optimization
  • Mathematical programming
  • Theoretical aspects of hybrid optimization methods Emerging real world and theoretical applications in engineering and economics

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 917093
  • - Editorial

Classical and Hybrid Optimization Approaches and Their Applications in Engineering and Economics

Pandian Vasant | Gerhard-Wilhelm Weber | Vo Ngoc Dieu
  • Special Issue
  • - Volume 2015
  • - Article ID 379250
  • - Research Article

Optimal Economic Operation of Islanded Microgrid by Using a Modified PSO Algorithm

Yiwei Ma | Ping Yang | ... | Yuewu Wang
  • Special Issue
  • - Volume 2015
  • - Article ID 126404
  • - Research Article

Multiobjective Particle Swarm Optimization Based on PAM and Uniform Design

Xiaoshu Zhu | Jie Zhang | Junhong Feng
  • Special Issue
  • - Volume 2015
  • - Article ID 914108
  • - Research Article

A Network-Based Data Envelope Analysis Model in a Dynamic Balanced Score Card

Mojtaba Akbarian | Esmaeil Najafi | ... | Farhad Hosseinzadeh-Lotfi
  • Special Issue
  • - Volume 2015
  • - Article ID 754582
  • - Research Article

Opposition-Based Improved PSO for Optimal Reactive Power Dispatch and Voltage Control

Shengrang Cao | Xiaoqun Ding | ... | Bingyan Chen
  • Special Issue
  • - Volume 2015
  • - Article ID 594345
  • - Research Article

Finding Robust Assailant Using Optimization Functions (FiRAO-PG) in Wireless Sensor Network

Piyush Kumar Shukla | Sachin Goyal | ... | Neeraj Tantubay
  • Special Issue
  • - Volume 2015
  • - Article ID 639787
  • - Research Article

A New Hybrid Algorithm to Solve Winner Determination Problem in Multiunit Double Internet Auction

Mourad Ykhlef | Reem Alqifari
  • Special Issue
  • - Volume 2015
  • - Article ID 320130
  • - Research Article

Parameters Optimization and Application to Glutamate Fermentation Model Using SVM

Xiangsheng Zhang | Feng Pan
  • Special Issue
  • - Volume 2015
  • - Article ID 587925
  • - Research Article

Intuitionistic Fuzzy Kernel Matching Pursuit Based on Particle Swarm Optimization for Target Recognition

Xiaodong Yu | Yingjie Lei | ... | Feixiang Meng
  • Special Issue
  • - Volume 2015
  • - Article ID 351354
  • - Research Article

Short-Term Wind Speed Hybrid Forecasting Model Based on Bias Correcting Study and Its Application

Mingfei Niu | Shaolong Sun | ... | Yuanlei Zhang
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Impact Factor1.009
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