Journal of Applied Mathematics

Nature-Inspired Algorithms for Real-World Optimization Problems


Status
Published

Lead Editor

1Jiangnan University, Wuxi, China

2RMIT University, Victoria, Australia

3Victoria University of Wellington, Wellington, New Zealand

4Mississippi State University, Starkville, USA


Nature-Inspired Algorithms for Real-World Optimization Problems

Description

Many real-world optimization problems have the characteristics of being nonlinear, multimodal, high-dimensional, dynamic, multiobjective, and so on, which are very complex to be solved. In recent years natural-inspired algorithms, which are a set of novel problem-solving methodologies and approaches, have been attracting considerable attention for their good performance. Artificial neural networks (ANN), fuzzy systems (FS), evolutionary computing (EC), and swarm intelligence (SI), which have drawn inspiration from different natural phenomena or systems, are the typical natural-inspired algorithms and have been applied successfully to solve real-world problems. Despite the popularity of natural-inspired algorithms, there are still many challenging issues that require further research efforts.

We invite authors to contribute original research articles that propose novel real-world problems solved by natural-inspired algorithms. We are also interested in articles that explore the theoretical analysis for natural-inspired algorithms by various mathematical approaches and the modifications for natural-inspired algorithms in order to improve the performance.


Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 359203
  • - Editorial

Nature-Inspired Algorithms for Real-World Optimization Problems

Wei Fang | Xiaodong Li | ... | Mengqi Hu
  • Special Issue
  • - Volume 2015
  • - Article ID 701851
  • - Research Article

Metaheuristic Approaches for Hydropower System Scheduling

Ieda G. Hidalgo | Regiane S. de Barros | ... | Paulo B. Correia
  • Special Issue
  • - Volume 2015
  • - Article ID 534198
  • - Research Article

Coincidence Detection Using Spiking Neurons with Application to Face Recognition

Fadhlan Kamaruzaman | Amir Akramin Shafie | Yasir M. Mustafah
  • Special Issue
  • - Volume 2015
  • - Article ID 374325
  • - Research Article

An UWB LNA Design with PSO Using Support Vector Microstrip Line Model

Salih Demirel | Filiz Gunes | A. Kenan Keskin
  • Special Issue
  • - Volume 2015
  • - Article ID 781907
  • - Research Article

Migrating Birds Optimization for the Seaside Problems at Maritime Container Terminals

Eduardo Lalla-Ruiz | Christopher Expósito-Izquierdo | ... | J. Marcos Moreno-Vega
  • Special Issue
  • - Volume 2015
  • - Article ID 894758
  • - Research Article

Gravitational Search Algorithm and Selection Approach for Optimal Distribution Network Configuration Based on Daily Photovoltaic and Loading Variation

Koong Gia Ing | H. Mokhlis | ... | J. J. Jamian
Journal of Applied Mathematics
 Journal metrics
Acceptance rate13%
Submission to final decision59 days
Acceptance to publication46 days
CiteScore0.530
Impact Factor-
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