Mathematical Problems in Engineering

Recent Advances on Swarm Intelligence for Solving Complex Engineering Problems


Status
Published

Lead Editor

1Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile

2CINVESTAV, Tamaulipas, Mexico

3University of Nantes, Nantes, France


Recent Advances on Swarm Intelligence for Solving Complex Engineering Problems

Description

Swarm intelligence is the study of computational systems that involves the collective cooperation of multiple agents that operate in a decentralized, self-organized, and distributed form. For instance, several optimization techniques follow this behavior, which via intelligent agents guided by high level strategies and local improvement procedures are able to efficiently solve NP-hard and NP-complete problems. During the last ten years, swarm intelligence approaches, such as ant colony optimization, particle swarm optimization, artificial bee colony, electromagnetism-like algorithm, cuckoo search, bat algorithm, firefly optimization, and black hole, have successfully been used to solve various well-known academic and real-world engineering problems in several application domains. Some examples can be mentioned such as resource planning, telecommunications, financial analysis, scheduling, space planning, energy distribution, molecular engineering, logistics, pattern classification, and manufacturing. This special issue is devoted to publish high-quality papers that employ swarm intelligence to solve complex engineering problems. Reviews on this topic are also welcome.

Potential topics include but are not limited to the following:

  • Swarm intelligence algorithms for scheduling optimization
  • Swarm intelligence algorithms for manufacturing optimization
  • Swarm intelligence in civil engineering
  • Swarm intelligence in financial engineering
  • Hybrids involving swarm intelligence for engineering problems
  • Integration of swarm intelligence and autonomous search for engineering problems
  • Integration of swarm intelligence and big data for engineering problems
  • Integration of swarm intelligence and constraint programming for engineering problems
  • Parallel swarm intelligence algorithms
  • Swarm intelligence using high performance computing
  • Swarm intelligence frameworks for optimization

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 7104764
  • - Research Article

Shared Variable Extraction and Hardware Implementation for Nonlinear Boolean Functions Based on Swarm Intelligence

Longmei Nan | Xiaoyang Zeng | ... | Lin Chen
  • Special Issue
  • - Volume 2018
  • - Article ID 4521701
  • - Research Article

Dynamic Multiaircraft Cooperative Suppression Interference Array Optimization by Dynamic MOPSO Algorithm

Huan Zhang | Rennong Yang | Changyue Sun
  • Special Issue
  • - Volume 2018
  • - Article ID 3793492
  • - Research Article

Development of Accurate Lithium-Ion Battery Model Based on Adaptive Random Disturbance PSO Algorithm

Huang Kai | Guo Yong-Fang | ... | Li Ling-Ling
  • Special Issue
  • - Volume 2018
  • - Article ID 4365873
  • - Research Article

An Improved Fruit Fly Optimization Algorithm and Its Application in Heat Exchange Fouling Ultrasonic Detection

Xia Li | Lingfang Sun | ... | Heng Piao
  • Special Issue
  • - Volume 2018
  • - Article ID 7509508
  • - Research Article

Predicting Taxi-Out Time at Congested Airports with Optimization-Based Support Vector Regression Methods

Guan Lian | Yaping Zhang | ... | Xiao Luo
  • Special Issue
  • - Volume 2018
  • - Article ID 9315954
  • - Research Article

Game Based Energy Cost Optimization for Unmanned Aerial Vehicle Communication Networks

Changhua Yao | Lei Zhu | ... | Junye Meng
  • Special Issue
  • - Volume 2018
  • - Article ID 6906295
  • - Research Article

Biological Flower Pollination Algorithm with Orthogonal Learning Strategy and Catfish Effect Mechanism for Global Optimization Problems

Weijia Cui | Yuzhu He
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Journal Citation Indicator0.400
Impact Factor1.305
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