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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 ant

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

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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: Initially, the applied evolutionary algorithms, ant colony optimization (ACO) and genetic algorithm (A dynamic hybridization of GA and ACO is proposed as a novel hybrid method which does not appear in theobjective problem are converted to a single objective optimization problem and the proposed hybrid genetic ant

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

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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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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(ACO) is proposed to calculate the optimal or near-optimal assembly sequence.Thus, the complexity of ACO parameter assignment is greatly reduced.Compared with the ACO algorithm, the hybrid SOS-ACO algorithm finds optimal or near-optimal assemblyLastly, the performance of SOS-ACO when the given ACO parameters are changed is analyzed through experiments

Keywords： assembly sequence planning     ant colony optimization     symbiotic organisms search     parameter 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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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.field,  hardware realization and intelligent combination, the key issues and prospects of the ant

Keywords： ant colony algorithm     pheromone     positive feedback     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 antThe 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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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 ant

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

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An Enhanced Physically Based Scour Model for Considering Jet Air Entrainment

Rafael Duarte,António Pinheiro,Anton J. Schleiss

Engineering 2016, Volume 2, Issue 3,   Pages 294-301 doi: 10.1016/J.ENG.2016.03.003

Abstract:

Based on systematic experiments on the influence of air entrainment on rock block stability in plunge pools impacted by high-velocity jets, this study presents adaptations of a physically based scour model. The modifications regarding jet aeration are implemented in the Comprehensive Scour Model (CSM), allowing it to reproduce the physical-mechanical processes involved in scour formation concerning the three phases; namely, water, rock, and air. The enhanced method considers the reduction of momentum of an aerated jet as well as the decrease of energy dissipation in the jet diffusive shear layer, both resulting from the entrainment of air bubbles. Block ejection from the rock mass depends on a combination of the aerated time-averaged pressure coefficient and the modified maximum dynamic impulsion coefficient, which was found to be a constant value of 0.2 for high-velocity jets in deep pools. The modified model is applied to the case of the observed scour hole at the Kariba Dam, with good agreement.

Keywords： Air entrainment     Uplift     Rock scour     Dam safety     High-velocity jets     Block stability     Scour assessment    

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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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A multi-integrated approach on toxicity effects of engineered TiO

DINIZ,Joana LOURENÇO,Isabel PERES,Luisa CASTRO,José Brito CORREIA,Joana PEREIRA,Isabel FERREIRA,António

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 5,   Pages 793-803 doi: 10.1007/s11783-015-0775-0

Abstract: The new properties of engineered nanoparticles drive the need for new knowledge on the safety, fate, behavior and biologic effects of these particles on organisms and ecosystems. Titanium dioxide nanoparticles have been used extensively for a wide range of applications, e.g, self-cleaning surface coatings, solar cells, water treatment agents, topical sunscreens. Within this scenario increased environmental exposure can be expected but data on the ecotoxicological evaluation of nanoparticles are still scarce. The main purpose of this work was the evaluation of effects of TiO nanoparticles in several organisms, covering different trophic levels, using a battery of aquatic assays. Using fish as a vertebrate model organism tissue histological and ultrastructural observations and the stress enzyme activity were also studied. TiO nanoparticles (Aeroxide® P25), two phase composition of anatase (65%) and rutile (35%) with an average particle size value of 27.6±11 nm were used. Results on the EC for the tested aquatic organisms showed toxicity for the bacteria, the algae and the crustacean, being the algae the most sensitive tested organism. The aquatic plant showed no effect on growth. The fish showed no effect on a 21 day survival test, though at a biochemical level the cytosolic Glutathione-S-Transferase total activity, in intestines, showed a general significant decrease ( <0.05) after 14 days of exposure for all tested concentrations. The presence of TiO nanoparticles aggregates were observed in the intestine lumen but their internalization by intestine cells could not be confirmed.

Keywords： ecotoxicity     enzymatic analysis     histology     transmission electron microscopy (TEM)     TiO2-nanoparticles    

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A novel color image encryption algorithm based on a fractional-order discrete chaotic neural network and DNA sequence operations Research Articles

Li-ping Chen, Hao Yin, Li-guo Yuan, António M. Lopes, J. A.

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6,   Pages 809-962 doi: 10.1631/FITEE.1900709

Abstract: A novel algorithm based on dynamic deoxyribonucleic acid (DNA) encoding and chaos is presented. A three-neuron fractional-order discrete Hopfield neural network (FODHNN) is employed as a pseudo-random chaotic sequence generator. Its initial value is obtained with the secret key generated by a five-parameter external key and a hash code of the plain image. The external key includes both the FODHNN discrete step size and order. The hash is computed with the SHA-2 function. This ensures a large secret key space and improves the algorithm sensitivity to the plain image. Furthermore, a new three-dimensional projection confusion method is proposed to scramble the pixels among red, green, and blue color components. DNA encoding and diffusion are used to diffuse the image information. Pseudo-random sequences generated by FODHNN are employed to determine the encoding rules for each pixel and to ensure the diversity of the encoding methods. Finally, confusion II and XOR are used to ensure the security of the encryption. Experimental results and the security analysis show that the proposed algorithm has better performance than those reported in the literature and can resist typical attacks.

Keywords： 分数阶离散系统；神经网络；DNA加密；彩色图像加密    

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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).ACO is used to solve complex path searching problems through CI emergence.program in the game of Gomoku, along with analyzing and comparing the Monte-Carlo tree search (MCTS) and ACO

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

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Fatigue Strength Evaluation of Resin-Injected Bolted Connections Using Statistical Analysis

José António Fonseca de Oliveira Correia, Bruno Alexandre Silva Pedrosa, Patrícia

Engineering 2017, Volume 3, Issue 6,   Pages 795-805 doi: 10.1016/j.eng.2017.12.001

Abstract:

Different strategies can be used to perform reparations and reinforcements of ancient bolted and riveted metallic bridges. As the riveting process is not currently a common practice, it requires proper equipment and skilled workers. Another solution is the use of welding. However, the weldability of old steels is poor. Bolts are very attractive alternative solutions, and are most commonly used to repair old metallic bridges. Fitted bolts are expensive solutions; the alternative is the use of resin-injected bolts. The behavior of bolted joints with preloaded resin-injected bolts has been studied using quasi-static and creep tests; however, few studies on the slip and fatigue behavior of these joints can be found in the literature. This paper presents an overview of a few experimental programs that were carried out by several authors aiming at evaluating the fatigue behavior of single and double shear resin-injected bolted connections. A comparison between the experimental data of joints with preloaded standard bolts and preloaded resininjected bolts shows a fatigue strength reduction in the latter. Since Eurocode 3 (EC3) suggests the same fatigue strength curve for joints made of resin-injected bolts and standard bolts, this may raise some concerns. Furthermore, research on the feasibility of using both bonded and bolted connections is shown. This last study was performed with high-strength low-alloy structural steel plates and an acrylic structural adhesive for metal bonding. For both case studies, a statistical analysis is performed on fatigue experimental data using linearized boundaries and the Castillo and Fernández-Canteli model. Fatigue design curves are proposed and compared with the design suggestions of several European and North American standards.

Keywords： Fatigue     Connections     Structural reinforcements     Structural adhesives     S-N curves     Resin-injected bolts    

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Title Author Date Type Operation

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

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

Mehdi BABAEI,Ebrahim SANAEI

Journal Article

Mechanical properties characterization of different types of masonry infill walls

André FURTADO, Hugo RODRIGUES, António ARÊDE, Humberto VARUM

Journal Article

Ant colony optimization for assembly sequence planning based on parameters optimization

Zunpu HAN, Yong WANG, De TIAN

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

Ant Colony Algorithm：Survey and Prospect

Duan Haibin,Wang Daobo, Yu Xiufen

Journal Article

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

Liu Yunzhong,Xuan Huiyu

Journal Article

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

Hamid Reza BOVEIRI

Journal Article

An Enhanced Physically Based Scour Model for Considering Jet Air Entrainment

Rafael Duarte,António Pinheiro,Anton J. Schleiss

Journal Article

Winner determination problem with loss-averse buyers in reverse auctions

Xiaohu QIAN, Min HUANG, Yangyang YU, Xingwei WANG

Journal Article

A multi-integrated approach on toxicity effects of engineered TiO

DINIZ,Joana LOURENÇO,Isabel PERES,Luisa CASTRO,José Brito CORREIA,Joana PEREIRA,Isabel FERREIRA,António

Journal Article

A novel color image encryption algorithm based on a fractional-order discrete chaotic neural network and DNA sequence operations

Li-ping Chen, Hao Yin, Li-guo Yuan, António M. Lopes, J. A.

Journal Article

Theory of Collective Intelligence Evolution and Its Applications in Intelligent Robots

Qi Xiaoya, Liu Chuang, Fu Chen, Gan Zhongxue

Journal Article

Fatigue Strength Evaluation of Resin-Injected Bolted Connections Using Statistical Analysis

José António Fonseca de Oliveira Correia, Bruno Alexandre Silva Pedrosa, Patrícia

Journal Article