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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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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 twoThe first stage of the ABC gets the optimal MG configuration at a minimum fuel cost for the requiredthe operation and maintenance cost as well as the emission is reduced using the second stage of the ABC

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

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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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Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive

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.However, the ANFIS-ABC model reflected better convergence of the results and better performance comparedThus, the ANFIS-ABC model can be used for the quick and accurate estimation of compressive strength of

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

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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 backpropagationneural network algorithm.

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

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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 inspiredSince the ABC algorithm has been developed to achieve optimal solutions by searching in the continuousIn this study, we modify the ABC algorithm to solve problems and name it the improved binary ABC (IbinABCTherefore, we aim to prevent the ABC algorithm from getting stuck in a local minimum by increasing itsWe compare the IbinABC algorithm with three variants of the ABC and other meta-heuristic algorithms in

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）    

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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.problem are converted to a single objective optimization problem and the proposed hybrid genetic ant colonyalgorithm (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.algorithm are proposed in detail.

Keywords： ant colony algorithm     pheromone     positive feedback     optimization    

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energy at hydrothermal power plants by simultaneous minimization of pollution and costs using improved ABCalgorithm

Homayoun EBRAHIMIAN,Bahman TAHERI,Nasser YOUSEFI

Frontiers in Energy 2015, Volume 9, Issue 4,   Pages 426-432 doi: 10.1007/s11708-015-0376-4

Abstract: simultaneous minimization of hydrothermal units to reach the best solution by employing an improved artificialbee colony (ABC) algorithm in a multi-objective function consisting of economic dispatch (ED) consideringThe obtained results are compared with those of the other methods including the genetic algorithm (GA), the Basu technique, and the improved genetic algorithm.Fast convergence is one of this improved algorithm features.

Keywords： practical constraints of units     pollution function     inlet steam valve     up-ramp rate of units     improved ABCalgorithm    

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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: temporal and spatial properties of the customer, and a spatiotemporal distance embedded hybrid ant colonyalgorithm (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     Ant colonyalgorithm (ACO    

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Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-basedartificial neural network

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1181-1198 doi: 10.1007/s11709-021-0744-6

Abstract: The obtained results are then checked statistically with nonlinear multiple regression (NMR) and artificialANN models are prepared with Levenberg–Marquardt (LM) algorithm for load sharing and interaction factors

Keywords： interaction     load sharing ratio     piled raft     nonlinear regression     artificial neural network    

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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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Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial

Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 976-989 doi: 10.1007/s11709-022-0840-2

Abstract: depth in steel beam structures based on vibration analysis using the Finite Element Method (FEM) and ArtificialNeural Network (ANN) combined with Butterfly Optimization Algorithm (BOA).

Keywords： damage prediction     ANN     BOA     FEM     experimental modal analysis    

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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

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

Kallol ROY,Kamal Krishna MANDAL

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

Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive

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

Journal Article

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

Journal Article

Improved binary artificial bee colony algorithm

Rafet Durgut,rafetdurgut@karabuk.edu.tr

Journal Article

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

energy at hydrothermal power plants by simultaneous minimization of pollution and costs using improved ABCalgorithm

Homayoun EBRAHIMIAN,Bahman TAHERI,Nasser YOUSEFI

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

Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-basedartificial neural network

Journal Article

Ant colony optimization for assembly sequence planning based on parameters optimization

Zunpu HAN, Yong WANG, De TIAN

Journal Article

Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial

Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI

Journal Article