Resource Type

Journal Article 265

Conference Videos 16

Year

2024 2

2023 29

2022 35

2021 36

2020 32

2019 26

2018 23

2017 15

2016 10

2015 9

2014 9

2013 7

2012 6

2011 2

2010 2

2009 2

2008 5

2007 6

2006 3

2005 1

open ︾

Keywords

Artificial intelligence 37

artificial intelligence 36

artificial neural network 21

Deep learning 8

Machine learning 6

artificial neural network (ANN) 6

machine learning 6

genetic algorithm 5

optimization 4

Artificial neural network 3

artificial intelligence (AI) 3

neural network 3

ANFIS 2

ANN 2

Artificial general intelligence 2

Artificial intelligence (AI) 2

Artificial intelligence 2.0 2

Artificial neural networks 2

Big data 2

open ︾

Search scope:

排序： Display mode:

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: power system ED problem solution considering valve-point effect by a new optimization algorithm called artificialbee colony (ABC).

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

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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

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    

HTML PDF Collect

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: 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    

HTML PDF Collect

Improved binary artificial bee colony algorithm Research Articles

Rafet Durgut,rafetdurgut@karabuk.edu.tr

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 8,   Pages 1080-1091 doi: 10.1631/FITEE.2000239

Abstract: The (ABC) algorithm is an evolutionary optimization algorithm based on swarm intelligence and inspired by the honey bees’ food search behavior. Since the ABC algorithm has been developed to achieve optimal solutions by searching in the continuous search space, modification is required to apply it to problems. In this study, we modify the ABC algorithm to solve problems and name it the improved binary ABC (IbinABC). The proposed method consists of an update mechanism based on fitness values and the selection of different decision variables. Therefore, we aim to prevent the ABC algorithm from getting stuck in a local minimum by increasing its exploration ability. We compare the IbinABC algorithm with three variants of the ABC and other meta-heuristic algorithms in the literature. For comparison, we use the well-known OR-Library dataset containing 15 problem instances prepared for the uncapacitated facility location problem. Computational results show that the proposed algorithm is superior to the others in terms of convergence speed and robustness. The source code of the algorithm is available at https://github.com/rafetdurgut/ibinABC.

Keywords： 人工蜂群；二进制优化；无容量限制的设施选址位置问题（UFLP）    

HTML PDF Collect

Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive strength of concrete using rebound hammer field test

Dung Quang VU; Fazal E. JALAL; Mudassir IQBAL; Dam Duc NGUYEN; Duong Kien TRONG; Indra PRAKASH; Binh Thai PHAM

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 1003-1016 doi: 10.1007/s11709-022-0846-9

Abstract: Inference System (ANFIS) optimized by Shuffled Complex Evolution (SCE) on the one hand and ANFIS with ArtificialBee Colony (ABC) on the other hand.

Keywords： shuffled complex evolution     artificial bee colony     ANFIS     concrete     compressive strength     Vietnam    

HTML PDF Collect

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    

HTML PDF Collect

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 (problem are converted to a single objective optimization problem and the proposed hybrid genetic ant colony

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

HTML PDF Collect

consideration of uncertainties for deployment of distributed energy resources using interactive honey bee

Iraj AHMADIAN,Oveis ABEDINIA,Noradin GHADIMI

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 412-425 doi: 10.1007/s11708-014-0315-9

Abstract: This paper presents a novel modified interactive honey bee mating optimization (IHBMO) base fuzzy stochastic

Keywords： component     distributed energy resources     fuzzy optimization     loss reduction     interactive honey bee mating    

HTML PDF Collect

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 colony

Keywords： ant colony algorithm     pheromone     positive feedback     optimization    

HTML PDF Collect

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    

HTML PDF Collect

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: temporal and spatial properties of the customer, and a spatiotemporal distance embedded hybrid ant colony

Keywords： routing problem with constraints (VRPC)     Spatiotemporal distance function     Labor division strategy     Ant colony    

HTML PDF Collect

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 colony

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

HTML PDF Collect

Plant Traits for Phytoremediation in the Tropics Article

Xiangting Cleo Chen, Liling Huang, Tze Hsien Agnes Chang, Bee Lian Ong, Say Leong Ong, Jiangyong Hu

Engineering 2019, Volume 5, Issue 5,   Pages 841-848 doi: 10.1016/j.eng.2019.07.019

Abstract:

Water is a limited and valuable resource. Singapore has four national sources of water supply, one of which is natural precipitation. Pollutants collected in stormwater runoff are deposited into drainage systems and reservoirs. Major nutrient pollutants found in local stormwater runoff include nitrate and phosphate, which may cause eutrophication. Bioretention systems are efficient in removing these pollutants in the presence of plants. This paper discusses plant traits that can enhance the phytoremediation of nutrient pollutants in stormwater runoff for application in bioretention systems. The plant species studied showed variations in chlorophyll florescence, leaf greenness, biomass production, and nitrate and phosphate removal. In general, dry biomass was moderately correlated to nitrate and phosphate removal (r = 0.339–0.501). Root, leaf, and total dry biomass of the native tree species showed a moderate to strong correlation with nitrate removal (r = 0.811, 0.657, and 0.727, respectively). Leaf dry biomass of fastgrowing plants also showed a moderate to strong relationship with the removal of both pollutants (r = 0.707 and 0.609, respectively). Root dry biomass of slow-growing plants showed a strong relationship with phosphate removal (r = 0.707), but the correlation was weaker for nitrate removal (r = 0.557). These results are valuable for choosing plants for application in bioretention systems.

Keywords： Nitrogen     Phosphorus     Plant traits     Bioretention system     Stormwater     Tropical plant     Nutrient pollutant     Native plants    

HTML PDF Collect

Title Author Date Type Operation

Artificial bee colony optimization for economic dispatch with valve point effect

Yacine LABBI,Djilani Ben ATTOUS,Belkacem MAHDAD

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

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

Journal Article

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

Kallol ROY,Kamal Krishna MANDAL

Journal Article

Improved binary artificial bee colony algorithm

Rafet Durgut,rafetdurgut@karabuk.edu.tr

Journal Article

Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive strength of concrete using rebound hammer field test

Dung Quang VU; Fazal E. JALAL; Mudassir IQBAL; Dam Duc NGUYEN; Duong Kien TRONG; Indra PRAKASH; Binh Thai PHAM

Journal Article

Ant colony optimization for assembly sequence planning based on parameters optimization

Zunpu HAN, Yong WANG, De TIAN

Journal Article

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

Mehdi BABAEI,Ebrahim SANAEI

Journal Article

consideration of uncertainties for deployment of distributed energy resources using interactive honey bee

Iraj AHMADIAN,Oveis ABEDINIA,Noradin GHADIMI

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

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

Hamid Reza BOVEIRI

Journal Article

Plant Traits for Phytoremediation in the Tropics

Xiangting Cleo Chen, Liling Huang, Tze Hsien Agnes Chang, Bee Lian Ong, Say Leong Ong, Jiangyong Hu

Journal Article