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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 (The hybrid algorithm explores the whole design space for optimum solutions.objective problem are converted to a single objective optimization problem and the proposed hybrid genetic antcolony 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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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 optimizationBased 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.colony algorithm are proposed in detail.

Keywords： ant colony algorithm     pheromone     positive feedback     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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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.The algorithm can be divided into two stages.Finally, we provide two actual urban scenarios to further verify the effectiveness of the proposed algorithm

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

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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 optimizationCompared with the ACO algorithm, the hybrid SOS-ACO algorithm finds optimal or near-optimal assembly

Keywords： assembly sequence planning     ant colony optimization     symbiotic organisms search     parameter 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 pheromoneNumerical experiments are conducted to illustrate the effectiveness of the proposed model and algorithmWe 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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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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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.abilities of the algorithm.A comparison of the IABC algorithm and other algorithms proves the effectiveness of the proposed IABCalgorithm.The results also denote that the IABC algorithm is efficient and stable in minimizing the cycle time

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

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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 probabilityThe modified algorithm was used for solving multidimensional knapsack problem, during the evolution processThe simulation results show the feasibility and effectiveness of the proposed algorithm.

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

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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: the well-known power system ED problem solution considering valve-point effect by a new optimization algorithmcalled artificial bee colony (ABC).

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

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Application Research on Vehicle Routing Problem With Time Windows Based on Dynamic Ant Algorithm

Liu Yunzhong,Xuan Huiyu

Strategic Study of CAE 2005, Volume 7, Issue 12,   Pages 35-40

Abstract:

Ant algorithm is a newly emerged stochastic searching optimization algorithm in recent years.vehicle routing problem with time windows in logistic management and designs a new kind of dynamic antalgorithm.The ability of optimization of this new ant algorithm is tested through numerical computation which gives

Keywords： ant algorithm     vehicle routing problem with time windows     logistic management     dynamic    

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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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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) algorithmevacuation rate is better than those of the other two algorithms, i.e., the leader-follower fire evacuation algorithmand the random fire evacuation 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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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).AlphaZero is not only due to the deep neural network and reinforcement learning, but also due to the MCTS algorithm, which is discovered to be a CI emergence algorithm.Combining the strengths of deep learning, reinforcement learning, and CI algorithm, CI evolution theory

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

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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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Title Author Date Type Operation

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

Mehdi BABAEI,Ebrahim SANAEI

Journal Article

Ant Colony Algorithm：Survey and Prospect

Duan Haibin,Wang Daobo, Yu Xiufen

Journal Article

Ant colony optimization in continuous problem

YU Ling, LIU Kang, LI Kaishi

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

Ant colony optimization for assembly sequence planning based on parameters optimization

Zunpu HAN, Yong WANG, De TIAN

Journal Article

Winner determination problem with loss-averse buyers in reverse auctions

Xiaohu QIAN, Min HUANG, Yangyang YU, Xingwei WANG

Journal Article

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

Hamid Reza BOVEIRI

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

Modified Binary Artificial Bee Colony Algorithm forMultidimensional Knapsack Problem

Wang Zhigang,Xia Huiming

Journal Article

Artificial bee colony optimization for economic dispatch with valve point effect

Yacine LABBI,Djilani Ben ATTOUS,Belkacem MAHDAD

Journal Article

Application Research on Vehicle Routing Problem With Time Windows Based on Dynamic Ant Algorithm

Liu Yunzhong,Xuan Huiyu

Journal Article

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

Kallol ROY,Kamal Krishna MANDAL

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

Theory of Collective Intelligence Evolution and Its Applications in Intelligent Robots

Qi Xiaoya, Liu Chuang, Fu Chen, Gan Zhongxue

Journal Article

Mechanical properties characterization of different types of masonry infill walls

André FURTADO, Hugo RODRIGUES, António ARÊDE, Humberto VARUM

Journal Article