Article
Engineering, Aerospace
Yufei Xing, Yan Su, Xingtong Fei, Jing Liu
Summary: This paper proposes a novel method based on the sine cosine algorithm to solve the problem of automatic pipe routing in complex space. Experimental results show that the improved algorithm performs better than traditional genetic algorithm and ant colony optimization, and has excellent optimization capability in solving pipe-routing problem.
JOURNAL OF AEROSPACE ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Siji Chen, Bo Jiang, Tao Pang, Hong Xu, Mingke Gao, Yan Ding, Xin Wang
Summary: Currently, the widespread applications of unmanned aerial vehicles (UAVs) in various fields pose a challenge in maintaining stable communication performance due to their high mobility, dynamic topology, and limited energy. To address this, this paper proposes a firefly swarm intelligence based cooperative localization (FSICL) and automatic clustering (FSIAC) algorithm, which combines the firefly algorithm (FA) and Chan algorithm for accurate cooperative localization and utilizes a fitness function for cluster-head (CH) selection and cluster formation. Simulation results demonstrate that the proposed algorithms achieve higher localization accuracy, stability of clusters, longer link expiration time (LET), and node lifetime, thereby improving the communication performance for indoor FANETs.
Article
Computer Science, Artificial Intelligence
Ye Tian, Tao Zhang, Jianhua Xiao, Xingyi Zhang, Yaochu Jin
Summary: This article proposes a coevolutionary framework for constrained multiobjective optimization problems, which demonstrates high competitiveness in experiments compared to other algorithms.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2021)
Article
Computer Science, Artificial Intelligence
Xinye Cai, Qi Sun, Zhenhua Li, Yushun Xiao, Yi Mei, Qingfu Zhang, Xiaoping Li
Summary: This article proposes a cooperative coevolution method called bilevel multiobjective CC (BLMOCC) for solving bilevel multiobjective optimization problems. BLMOCC handles the interactions among variables through variable decomposition and matrix completion, and optimizes them collaboratively using a cooperative coevolution approach. Experimental studies show that BLMOCC achieves the best performance among compared algorithms on benchmark problems, and it is also effective in a real-world management decision-making problem.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Saekyeol Kim, Shinyu Kim, Taeheok Choi, Taejoon Kwon, Tae Hee Lee, Kwangrae Lee
Summary: This study presents a systematic framework for generating the routing layout design in a commercial truck, including various methods such as routing algorithms and genetic algorithms. The research shows that the proposed algorithm provides a better routing layout design than traditional ones.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2021)
Article
Automation & Control Systems
Amanuel Kassa Mengistie, Teshome Mulatie Bogale
Summary: Currently, it is difficult for a human welder to weld the entire circumference of a pipe in a single pass using MIG welding, resulting in inconsistencies in weld quality. This study developed an automated orbital pipe MIG welding system and optimized welding parameters to enhance the strength and hardness of mild steel pipes. The results showed that the developed hybrid artificial neural network and genetic algorithm model successfully predicted and optimized the ultimate tensile strength and Rockwell hardness. The model achieved a mean square error of 5.06e-05 and accurately forecasted the optimal responses.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
Shuhua Gao, Changkai Sun, Cheng Xiang, Kairong Qin, Tong Heng Lee
Summary: This study introduces a novel framework called SgpNet which uses an asynchronous update scheme to infer asynchronous Boolean networks (BNs) from single-cell data while maintaining the sparsity of gene regulatory networks (GRNs). By encoding Boolean functions as trees in genetic programming and evolving them simultaneously through cooperative coevolution, SgpNet efficiently searches the vast solution space. Additionally, a regulator preselection strategy is developed to enhance learning efficiency, with promising scalability to large networks through straightforward parallelization.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Computer Science, Information Systems
Debaditya Barman, Ritam Sarkar, Nirmalya Chowdhury
Summary: This paper proposes a Query Recommendation system using a Multi-objective Cooperative Co-evolutionary Genetic Algorithm (QRMOCCGA) to address the challenges of understanding user intent and providing query recommendations.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
Youngsu Kim, Kyungho Lee, Byeongwook Nam, Youngsoo Han
Summary: The manual pipe routing of ships depends on the expertise of the individuals involved, making automation and optimization studies necessary. This study presents a methodology that uses curriculum learning to enable a rapid response to frequent pipe-routing modifications.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Jushang Chi, Shiwei He
Summary: In this study, the optimization problem of many-to-one assembly systems is investigated. A model for the multi-product assembly routing problem is proposed and solved using an improved algorithm, which outperforms the conventional algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Information Systems
Yanfei Zhu, Kwang Y. Lee, Yonghua Wang
Summary: This paper explores the use of elitist genetic algorithm for electric vehicle routing problem with time window, introducing an improved neighbor routing initialization method. It enhances convergence speed by adjusting adaptive crossover and mutation probabilities. Experimental studies demonstrate the algorithm's effectiveness in both random and benchmark cases.
Article
Nuclear Science & Technology
Shuwen Zheng, Yang Xiao, Jie Liu
Summary: This study proposes a novel decomposition-based framework for time-series data fault predictions, using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise for data decomposition and optimizing prediction models, modeling parameters, and aggregation weights using Genetic Algorithm. A case study on reactor coolant pump leakage in nuclear power plants demonstrates the superior performance of the proposed method for various prediction horizons.
ANNALS OF NUCLEAR ENERGY
(2023)
Article
Engineering, Mechanical
Hexiang Yuan, Jiapeng Yu, Duo Jia, Qiang Liu, Hui Ma
Summary: This paper proposes an automatic multiple pipe routing method for aero-engines, which determines pipe paths using a compressed visibility graph construction algorithm and optimizes layout using a coevolutionary improved differential evolution algorithm. Additionally, a method to address minor angle deviations of parallel pipes is proposed. The simulation results demonstrate the feasibility and effectiveness of the method.
FRONTIERS OF MECHANICAL ENGINEERING
(2021)
Article
Physics, Fluids & Plasmas
John-Antonio Argyriadis, Yang-Hui He, Vishnu Jejjala, Djordje Minic
Summary: The study focuses on the dynamics of genetic code evolution, using a model that demonstrates convergence to a near universal solution through horizontal gene transfer mechanism. Analysis of varying parameters shows impact on convergence and optimality score, with attractor dynamics observed in the solution by allowing specific parameters to vary with time. Investigation of genetic code automorphisms due to the model reveals a direct link to mutation rate for re-examining universality.
Article
Computer Science, Information Systems
Ali Kelkawi, Imtiaz Ahmad, Mohammed El-Abd
Summary: The cooperative coevolution framework improves the quality and computational speed of metaheuristic algorithms for solving continuous large-scale global optimization problems by dividing the problem into subcomponents. This work proposes a distributed implementation of the framework on the Apache Spark platform, utilizing its features to enhance computational speed while maintaining comparable search quality. The proposed implementation achieves a speedup of up to x3.36 on large-scale global optimization benchmarks using Apache Spark.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
Jiamin Liu, Yong Yue, Zongran Dong, Carsten Maple, Malcolm Keech
COMPUTERS & OPERATIONS RESEARCH
(2011)
Article
Engineering, Marine
Xuanyi Bian, Yan Lin, Zongran Dong
Summary: This article presents an automatic ship pipe route design method based on an improved A* algorithm, which enhances the accuracy and efficiency of the algorithm by introducing blocking iteration and dynamic weight. In addition, a system has been developed using Python and OpenGL to support automatic design and visualization.
JOURNAL OF SHIP PRODUCTION AND DESIGN
(2022)
Article
Engineering, Marine
Zong-ran Dong, Xuan-yi Bian, Shuang Zhao
Summary: This paper proposes a new ship pipe route design method based on multi-objective ant colony optimization (MOACO), which addresses the issues of diverse objectives and complex constraints in SPRD. The feasibility and efficiency of the proposed method are verified through simulation and actual routing cases.
Article
Engineering, Marine
Yan Lin, Xuan-yi Bian, Zong-ran Dong
Summary: This paper proposes a hybrid optimization algorithm called DDECS, based on Differential Evolution and Cuckoo Search, for solving the ship pipe route layout optimization problem. By studying existing coding methods and ship pipe routes' attributes, a vector coding method with a concise structure, strong compatibility, and independence from the gridding space is proposed. The DDECS algorithm, implemented using the proposed vector coding, has few parameters and high computational efficiency, and it effectively finds the global optimal solution by maintaining population diversity.
Article
Computer Science, Information Systems
Zongran Dong, Xuanyi Bian
Article
Engineering, Marine
Zong-ran Dong, Yan Lin
INTERNATIONAL SHIPBUILDING PROGRESS
(2017)
