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Ant colony optimization for assembly sequence planning based on parameters optimization

Zunpu HAN, Yong WANG, De TIAN

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 393-409 doi: 10.1007/s11465-020-0613-3

Abstract: Second, an algorithm called SOS-ACO that combines symbiotic organisms search (SOS) and ant colony optimization

Keywords： assembly sequence planning     ant colony optimization     symbiotic organisms search     parameter optimization    

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Ant colony optimization in continuous problem

YU Ling, LIU Kang, LI Kaishi

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 4,   Pages 459-462 doi: 10.1007/s11465-007-0079-6

Abstract: Based on the analysis of the basic ant colony optimization and optimum problem in a continuous space,an ant colony optimization (ACO) for continuous problem is constructed and discussed.The algorithm is efficient and beneficial to the study of the ant colony optimization in a continuous

Keywords： beneficial     algorithm     efficient     continuous     ACO    

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Ant Colony Algorithm：Survey and Prospect

Duan Haibin,Wang Daobo, Yu Xiufen

Strategic Study of CAE 2007, Volume 9, Issue 2,   Pages 98-102

Abstract:

 Ant colony algorithm is a novel category of bionic meta唱heuristicAnt colony algorithm, which has strong robustness and is easy to combine with other methods in optimization, has wide application in various combined optimization fields.Based on the introduction of the mathematical model of basic ant colony algorithm, typical improved modelsand applications of the ant colony algorithm in the21st century are listed.

Keywords： ant colony algorithm     pheromone     positive feedback     optimization    

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Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization

Mehdi BABAEI,Ebrahim SANAEI

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 4,   Pages 472-480 doi: 10.1007/s11709-016-0368-4

Abstract: In this article, multi-objective optimization of braced frames is investigated using a novel hybrid algorithmInitially, the applied evolutionary algorithms, ant colony optimization (ACO) and genetic algorithm (using the weighted sum method (WSM), the two objective problem are converted to a single objective optimizationproblem and the proposed hybrid genetic ant colony algorithm (HGAC) is developed for optimal design.

Keywords： multi-objective     hybrid algorithm     ant colony     genetic algorithm     displacement     weighted sum method     steel    

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An incremental ant colony optimization based approach to task assignment to processors for multiprocessor Article

Hamid Reza BOVEIRI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 498-510 doi: 10.1631/FITEE.1500394

Abstract: processors using the traditional EST method is not optimum; in addition, a novel approach based on the antcolony optimization algorithm is introduced, which can find far better solutions.

Keywords： Ant colony optimization     List scheduling     Multiprocessor task graph scheduling     Parallel and distributed    

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Spatiotemporal distance embedded hybrid ant colony algorithm for a kind of vehicle routing problem with Research Article

Zhenhui FENG, Renbin XIAO,feng_zh@hust.edu.cn,rbxiao@hust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 7,   Pages 1062-1079 doi: 10.1631/FITEE.2200585

Abstract: the temporal and spatial properties of the customer, and a spatiotemporal distance embedded hybrid antcolony algorithm (HACA-ST) is proposed.

Keywords： routing problem with constraints (VRPC)     Spatiotemporal distance function     Labor division strategy     Antcolony algorithm (ACO    

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Artificial bee colony optimization for economic dispatch with valve point effect

Yacine LABBI,Djilani Ben ATTOUS,Belkacem MAHDAD

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 449-458 doi: 10.1007/s11708-014-0316-8

Abstract: In recent years, various heuristic optimization methods have been proposed to solve economic dispatchpaper presents the well-known power system ED problem solution considering valve-point effect by a new optimizationalgorithm called artificial bee colony (ABC).The results show that the proposed approach is efficient and robust when compared with other optimization

Keywords： artificial bee colony (ABC) algorithm     economic dispatch (ED)     valve-point effect     optimization    

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Winner determination problem with loss-averse buyers in reverse auctions

Xiaohu QIAN, Min HUANG, Yangyang YU, Xingwei WANG

Frontiers of Engineering Management 2017, Volume 4, Issue 2,   Pages 212-220 doi: 10.15302/J-FEM-2017019

Abstract: Then, an improved ant colony algorithm that consists of a dynamic transition strategy and a Max-Min pheromoneWe find that under the loaded route strategy, the improved ant colony algorithm performs better thanthe basic ant colony algorithm.

Keywords： reverse auction     loss aversion     winner determination     improved ant colony algorithm    

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Theory of Collective Intelligence Evolution and Its Applications in Intelligent Robots

Qi Xiaoya, Liu Chuang, Fu Chen, Gan Zhongxue

Strategic Study of CAE 2018, Volume 20, Issue 4,   Pages 101-111 doi: 10.15302/J-SSCAE-2018.04.017

Abstract: The most well-known CI algorithm is the ant colony optimization (ACO).As a proof of this idea, a welding robot's welding parameter optimization intelligent model is implemented

Keywords： collective intelligence     emergence     evolution     positive feedback     ant colony optimization     Monte-Carlo    

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Damage assessment and diagnosis of hydraulic concrete structures using optimization-based machine learning

Frontiers of Structural and Civil Engineering   Pages 1281-1294 doi: 10.1007/s11709-023-0975-9

Abstract: A damage assessment method for concrete structures is established using an artificial bee colony backpropagation

Keywords： hydraulic structure     curvature mode     damage detection     artifical neural network     artificial bee colony    

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Hybrid optimization algorithm for modeling and management of micro grid connected system

Kallol ROY,Kamal Krishna MANDAL

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 305-314 doi: 10.1007/s11708-014-0308-8

Abstract: In this paper, a hybrid optimization algorithm is proposed for modeling and managing the micro grid (Here, the hybrid algorithm is obtained as artificial bee colony (ABC) algorithm, which is used in two

Keywords： micro grid (MG)     multi-objective function     artificial bee colony (ABC)     fuel cost     operation and maintenance    

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Modified Binary Artificial Bee Colony Algorithm forMultidimensional Knapsack Problem

Wang Zhigang,Xia Huiming

Strategic Study of CAE 2014, Volume 16, Issue 8,   Pages 106-112

Abstract:

The binary artificial bee colony algorithm has the shortcomings of slowerAccording to the defects, a modified binary artificial bee colony algorithm is proposed.The algorithm redesign neighborhood search formula in artificial bee colony algorithm, the probability

Keywords： artificial bee colony algorithm     multidimensional knapsack problem     greedy algorithm     combinatorial optimization    

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RFES: a real-time fire evacuation system for Mobile Web3D Research Articles

Feng-ting YAN, Yong-hao HU, Jin-yuan JIA, Qing-hua GUO, He-hua ZHU, Zhi-geng PAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8,   Pages 1061-1074 doi: 10.1631/FITEE.1700548

Abstract: We propose a real-time fire evacuation system based on the ant colony optimization (RFES-ACO) algorithm

Keywords： Building information modeling (BIM) building space     Mobile Web3D     Real-time fire evacuation system based on antcolony optimization (RFES-ACO) algorithm    

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Mechanical properties characterization of different types of masonry infill walls

André FURTADO, Hugo RODRIGUES, António ARÊDE, Humberto VARUM

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 411-434 doi: 10.1007/s11709-019-0602-y

Abstract: It is remarkable, the recent advances concerning the development of numerical modeling frameworks to simulate the infill panels’ seismic behavior. However, there is a lack of experimental data of their mechanical properties, which are of full importance to calibrate the numerical models. The primary objective of this paper is to present an extensive experimental campaign of mechanical characterization tests of infill masonry walls made with three different types of masonry units: lightweight vertical hollow concrete blocks and hollow clay bricks. Four different types of experimental tests were carried out, namely: compression strength tests, diagonal tensile strength tests, and flexural strength tests parallel and perpendicular to the horizontal bed joints. A total amount of 80 tests were carried out and are reported in the present paper. The second objective of this study was to compare the mechanical properties of as-built and existing infill walls. The results presented and discussed herein, will be in terms of strain-stress curves and damages observed within the tests. It was observed a fragile behavior in the panels made with hollow clay horizontal bricks, without propagation of cracks. The plaster increased the flexural strength by 57%.

Keywords： masonry infill walls     experimental characterization     compression strength     shear diagonal strength     flexural strength    

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An improved artificial bee colony algorithm with MaxTF heuristic rule for two-sided assembly line balancing

Xiaokun DUAN, Bo WU, Youmin HU, Jie LIU, Jing XIONG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 241-253 doi: 10.1007/s11465-018-0518-6

Abstract: This paper proposes an improved artificial bee colony (IABC) algorithm with the MaxTF heuristic rule.

Keywords： two-sided assembly line balancing problem     artificial bee colony algorithm     heuristic rules     time boundary    

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Title Author Date Type Operation

Ant colony optimization for assembly sequence planning based on parameters optimization

Zunpu HAN, Yong WANG, De TIAN

Journal Article

Ant colony optimization in continuous problem

YU Ling, LIU Kang, LI Kaishi

Journal Article

Ant Colony Algorithm：Survey and Prospect

Duan Haibin,Wang Daobo, Yu Xiufen

Journal Article

Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization

Mehdi BABAEI,Ebrahim SANAEI

Journal Article

An incremental ant colony optimization based approach to task assignment to processors for multiprocessor

Hamid Reza BOVEIRI

Journal Article

Spatiotemporal distance embedded hybrid ant colony algorithm for a kind of vehicle routing problem with

Zhenhui FENG, Renbin XIAO,feng_zh@hust.edu.cn,rbxiao@hust.edu.cn

Journal Article

Artificial bee colony optimization for economic dispatch with valve point effect

Yacine LABBI,Djilani Ben ATTOUS,Belkacem MAHDAD

Journal Article

Winner determination problem with loss-averse buyers in reverse auctions

Xiaohu QIAN, Min HUANG, Yangyang YU, Xingwei WANG

Journal Article

Theory of Collective Intelligence Evolution and Its Applications in Intelligent Robots

Qi Xiaoya, Liu Chuang, Fu Chen, Gan Zhongxue

Journal Article

Damage assessment and diagnosis of hydraulic concrete structures using optimization-based machine learning

Journal Article

Hybrid optimization algorithm for modeling and management of micro grid connected system

Kallol ROY,Kamal Krishna MANDAL

Journal Article

Modified Binary Artificial Bee Colony Algorithm forMultidimensional Knapsack Problem

Wang Zhigang,Xia Huiming

Journal Article

RFES: a real-time fire evacuation system for Mobile Web3D

Feng-ting YAN, Yong-hao HU, Jin-yuan JIA, Qing-hua GUO, He-hua ZHU, Zhi-geng PAN

Journal Article

Mechanical properties characterization of different types of masonry infill walls

André FURTADO, Hugo RODRIGUES, António ARÊDE, Humberto VARUM

Journal Article

An improved artificial bee colony algorithm with MaxTF heuristic rule for two-sided assembly line balancing

Xiaokun DUAN, Bo WU, Youmin HU, Jie LIU, Jing XIONG

Journal Article