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The parameter extraction of the thermally annealed Schottky barrier diode using the modified artificial bee colony

APPLIED INTELLIGENCE 2013年第3期38卷 279-288页

作者： Karaboga, Nurhan Kockanat, Serdar Dogan, Hulya Erciyes Univ Fac Engn Dept Elect Elect Engn TR-38039 Kayseri Turkey Cumhuriyet Univ Vocat Sch Sivas TR-58140 Sivas Turkey Cumhuriyet Univ Fac Engn Dept Elect Elect Engn TR-58140 Sivas Turkey

In this paper, a new method based on the modified artificial bee colony (MABC) algorithm to determine the main characteristic parameters of the Schottky barrier diode such as barrier height, ideality factor and series resistance. For this model, the Ni/n-GaAs/In Schottky barrier diode was produced and annealed at different temperature in a laboratory. The performance of the modified ABC method was compared to that of the basic artificial bee colony (ABC), particle swarm optimization (PSO), differential evolution (DE), genetic algorithm (GA) and simulated annealing (SA). From the results, it is concluded that the modified ABC algorithm is more flexible and effective for the parameter determination than the other algorithms.

关键词： artificial bee colony algorithm modified artificial bee colony algorithm Particle swarm optimization Schottky barrier diode Parameter determination

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A novel cluster head selection using Hybrid artificial bee colony and Firefly algorithm for network lifetime and stability in WSNs

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CONNECTION SCIENCE 2022年第1期34卷 387-408页

作者： Sengathir, J. Rajesh, A. Dhiman, Gaurav Vimal, S. Yogaraja, C. A. Viriyasitavat, Wattana CVR Coll Engn Dept IT Rangareddi Telangana India CVR Coll Engn Dept ECE Rangareddi Telangana India Govt Bikram Coll Commerce Dept Comp Sci Patiala Punjab India Ramco Inst Technol Dept Artificial Intelligence & Data Sci Rajapalayam India Chulalongkorn Univ Dept Stat Business Informat Technol Div Fac Commerce & Accountancy Bangkok Thailand

Wireless Sensor Networks (WSNs) are capable of achieving data dissemination between them such that exploration of their potential could be performed based on their frequency range. It is considered to be highly difficult for recharging sensor devices under adverse situations. The main drawbacks of WSNs concern to the issue of network lifetime, coverage area, scheduling and data aggregation. In particular, prolonging network lifetime confirms the success together with the energy conservation of sensor nodes, data transmission reliability and scalability of their operation in data aggregation. Clustering schemes are considered to be highly suitable for effectively utilising the resources with lower overhead, such that energy consumption is enhanced for upgrading the network lifespan. In this paper, a Hybrid modified artificial bee colony and Firefly algorithm (HMABCFA) -Based Cluster Head Selection is proposed for ensuring energy stabilisation, delay minimisation and inter-node distance reduction for improving the network lifetime. This proposed HMABCFA integrates the benefit of the Firefly optimisation algorithm for generating a new position that which has the capability of replacing the position, which is not updated in the scout bee phase of ABC. This incorporation of Firefly optimisation algorithm into the ABC algorithm prevents the limitations of premature convergence, slow convergence and the possibility of being trapped into the local point of optimality in the clustering process. The modified ABC-based clustering process is phenomenal in improving the feasible dimensions for enhancing the process of exploitation and exploration. The results of the HMABCFA, on an average are confirmed to enhance the network lifetime by 23.21%, energy stability by 19.84% and reduce network latency by 22.88%, compared to the benchmarked approaches.

关键词： Network lifetime energy stability modified artificial bee colony algorithm Firefly algorithm cluster head selection

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Design Optimization of a Six-Phase Induction Motor by Flower pollination and modified artificial bee colony algorithms

Design Optimization of a Six-Phase Induction Motor by Flower...

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IEEE Region 10 Conference

作者： Pratyush Prasanna Das S. N. Mahato Department of Electrical Engineering NIT Durgapur India

ISBN: (纸本)9781509025985

A modified version of artificial bee colony algorithm and Flower pollination algorithm are used in this paper, in order to optimize the design of a six phase induction motor (SPIM). The objective functions used are more than one for the said optimization. In this paper, a comparison of the results as obtained by traditional method, modified artificial bee colony algorithm (mABC) and Flower Pollination algorithm (FPA) has been carried out and presented. The results show that much more superior and efficient design is obtained by modified ABC and Flower Pollination algorithms as compared to traditional design procedure. The comparison of the results is only to find the fittest method and also the performance of the said machine is evaluated for each of the cases as mentioned.

关键词： design optimization efficiency flower pollination algorithm modified artificial bee colony algorithm six-phase induction motor

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Cloud Computing Resource Scheduling Based on modified bee colony algorithm 36

Cloud Computing Resource Scheduling Based on Modified Bee Co...

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36th Chinese Control and Decision Conference (CCDC)

作者： Zhao, Shasha Yan, Huanwen Lin, Qifeng Lin, Yuyuan Zhang, Dengyin Nanjing Univ Posts & Telecommun Sch Internet Things Nanjing Peoples R China Tongding Interconnect Informat Co Ltd Suzhou Peoples R China Nanjing Univ Posts & Telecommun Tongda Coll Sch Internet Things Yangzhou Jiangsu Peoples R China

ISBN: (纸本)9798350387780;9798350387797

As cloud computing and the big data industry continue to expand, the demand for faster data processing speed is also on the rise. This has led to the emergence of a distributed processing resource scheduling system. However, resource scheduling faces major challenges such as resource allocation issues, excessively long processing times, high costs, and uneven workload distribution. In response to these challenges, this article proposes an enhanced approach using the modified artificial bee colony algorithm (MABC). This algorithm incorporates inertia weights and global optimization components, expanding the algorithm's search range and enhancing its stability. By effectively addressing the difficulties in resource scheduling, it achieves multi-objective optimization results.

关键词： Cloud computing resource scheduling workload modified artificial bee colony algorithm

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A modified ABC algorithm approach for power system harmonic estimation problems

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ELECTRIC POWER SYSTEMS RESEARCH 2018年第Jan.期154卷 160-173页

作者： Kabalci, Yasin Kockanat, Serdar Kabalci, Ersan Nigde Omer Halisdemir Univ Dept Elect & Elect Engn TR-51240 Nigde Turkey Cumhuriyet Univ Dept Elect & Elect Engn TR-58140 Sivas Turkey Nevsehir HBV Univ Dept Elect & Elect Engn Fac Engn & Architecture TR-50300 Nevsehir Turkey

Electrical harmonic is an important issue on power quality of electrical systems. Therefore, estimation of power harmonics are essential to design filters to be utilized in electrical power systems for reducing harmonics and their effects on the electrical power systems. In this study, a power system harmonic estimation solution based on modified artificial bee colony (MABC) algorithm have been proposed. The proposed method in this study is different from other hybrid techniques previously reported ones since estimation processes are mainly focused on decreasing computational complexity and time. In order to provide more accurate and comprehensive estimation results for the proposed method, two different experiments are investigated. Obtained results by the performed experiments showed that the proposed harmonic estimator provides several advantages such as offering very low computational time, more accurate estimation of amplitude and phase values for all conditions and low complexity. (C) 2017 Elsevier B.V. All rights reserved.

关键词： Harmonics modified artificial bee colony algorithm Estimation

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MABC-EPF: Video in-painting technique with enhanced priority function and optimal patch search algorithm

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2022年第11期34卷

作者： Rao, B. Janardhana Chakrapani, Y. Kumar, S. Srinivas CVR Coll Engn Dept Elect & Commun Engn Hyderabad Telangana India ACE Engn Coll Dept Elect & Commun Engn Hyderabad India Jawaharlal Nehru Technol Univ Dept Elect & Commun Engn Kakinada Andhra Pradesh India

In this article, video in-painting technique with enhanced priority function and optimal patch searching algorithm is proposed. Initially, the source frames are extracted from video based on edge information, these frames are partitioned into two regions (1) target region (region to be in-painted) and (2) source region that is region to be considered as appropriate patch selection for in-painting the target region. A new priority function using confidence value, local structure multiplier, and motion vector uniformity to determine the in-paint location. The suitable patch is identified in source region, using correlation measure, like sum of squared difference method. The searching of the suitable patch in source region is optimized through modified artificial bee colony (MABC) algorithm. To capture more edge information, irregular patch filling is carried out to in-painting process. The in-painting process is more improved by optimal patch scaling for better vision. Finally, the in-painted source frames are combined to obtain the corrected video. The proposed method works better than the other art state applications. The proposed peak signal to noise ratio (PSNR) attains better 8.06%, 7.90%, 32.15%, and 13.06% compared with other previous methods.

关键词： confidence value modified artificial bee colony algorithm patch scaling priority function video in-painting

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The dynamic ride-hailing sharing problem with multiple vehicle types and user classes

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TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW 2022年 168卷

作者： Zhan, Xingbin Szeto, W. Y. Chen, Xiqun (Michael) Hefei Univ Technol Sch Automot & Transportat Engn Hefei 230009 Peoples R China Univ Hong Kong Dept Civil Engn Pokfulam Rd Hong Kong Peoples R China Univ Hong Kong Shenzhen Inst Res & Innovat Shenzhen Peoples R China Guangdong Hong Kong Macau Joint Lab Smart Cities Taipa Peoples R China Zhejiang Univ Coll Civil Engn & Architecture Hangzhou 310058 Peoples R China

This paper proposes a dynamic ride-hailing sharing problem with multiple vehicle types and user classes. Ride-hailing vehicles (RHVs) can be classified into express ride-hailing vehicles (ERHVs) and premier ride-hailing vehicles (PRHVs) according to service levels. PRHVs can provide the high-quality ride-hailing service with upmarket vehicles and ERHVs provide the normal ride hailing service with normal vehicles. The fare of PRHVs is higher. PRHVs can be temporarily used as ERHVs to serve the customers who order ERHVs with or without ride-sharing, which referred to as the substitution of ERHVs with PRHVs. A lexicographic multi-objective function with three-level objectives is proposed to formulate the problem, in which the first-level objective is to maximize the profit of the platform, the second-level objective is to minimize the number of requests of customers who involve ordering ERHVs matched to PRHVs, and the third-level objective is to minimize the total driving distance of all RHVs. The dynamic problem is divided into a set of continuous and small ride-hailing sharing subproblems based on equal time intervals. Each subproblem is formulated as a mixed integer nonlinear program for matching RHVs to the requests collected in the last time interval or unmatched in previous time intervals and re-scheduling the vehicle routes. To solve the subproblems, a new solution method is proposed based on the modified artificial bee colony algorithm developed by Zhan et al. (2021). Numerical examples using real request data from Didi are given to explore the problem properties, and the results gain insights into the ride-hailing market. For example, the profit of the platform and the number of matched requests are higher when the substitution of ERHVs with PRHVs is allowed while the matching percentage of requests of customers who select a mixed choice is higher when there is no substitution. Different ratios of vehicle types and user classes influence the perfor-mance of th

关键词： Dynamic ride-hailing sharing problem Multiple vehicle types Multiple user classes Substitution of ERHVs with PRHVs modified artificial bee colony algorithm

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The ride-hailing sharing problem with parcel transportation

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TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW 2023年第1期172卷

作者： Zhan, Xingbin Szeto, W. Y. Wang, Yue Hefei Univ Technol Sch Automot & Transportat Engn Hefei 230009 Peoples R China Univ Hong Kong Dept Civil Engn Pokfulam Rd Hong Kong Peoples R China Huazhong Univ Sci & Technol Sch Management Wuhan Peoples R China Engn Res Ctr Intelligent Transportat & Cooperat V Hefei 230009 Peoples R China Univ Hong Kong Shenzhen Inst Res & Innovat Shenzhen Peoples R China Guangdong Hong Kong Macau Joint Lab Smart Cities Macau Peoples R China

This paper proposes a ride-hailing sharing problem with parcel transportation. In the study, both passengers and parcels can be transported by ordering the requests through a ride-hailing platform, in which the passengers can only be delivered by ride-hailing vehicles (RHVs) while parcels can be delivered by both RHVs and electric motorcycles (EMs). Compared with RHVs, EMs have a lower speed, a smaller capacity for parcels, and a lower driving cost per kilometer. Parcels are divided into eight classes according to the size of parcels (i.e., extra small, small, middle, and large) and the urgency of parcels (i.e., urgent and non-urgent). Passengers and passengers, passengers and parcels, as well as multiple parcels, are allowed to share the same vehicles in this problem. A two-level lexicographic multi-objective function is proposed from the perspective of the ride-hailing platform, where the first-level objective is to maximize the profit of the platform and the second-level objective is to minimize the total driving cost of RHVs and EMs. The time-varying property of passenger requests is considered and the proposed problem is divided into a set of continuous and small-scale ride-hailing subproblems. Each subproblem is formulated to match both passenger and parcel requests to RHVs and EMs, and to determine vehicle routes. Time window constraints, RHV capacity constraints for passengers, RHV trunk capacity constraints for parcels and luggage, and EM delivery box capacity constraints are considered. The modified artificial bee colony (MABC) algorithm is proposed based on the framework developed by Zhan et al. (2022) to solve the ride-hailing sharing problem with parcel transportation. The results of numerical experiments show that allowing RHVs to transport parcels can significantly increase the profit of the platform, the number of matched requests, and the average profit of RHV drivers. If RHVs are allowed to pick up parcels, the government should encourage the repla

关键词： Ride-hailing sharing problem Parcel transportation Ride-hailing vehicles Electric motorcycles modified artificial bee colony algorithm

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The Optimal Sizing for AC/DC Hybrid Stand-Alone Microgrid Based on Energy Dispatch Strategy

The Optimal Sizing for AC/DC Hybrid Stand-Alone Microgrid Ba...

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2016 IEEE International Conference on Power and Renewable Energy （ICPRE 2016）

作者： Xingjie Liu Zhe Du Xiao Yan Department of electric engineering North China Electric Power University

The energy dispatch strategy of AC/DC hybrid stand-alone microgrid is put forward aiming at enhancing the operation economy of the microgrid. Based on the proposed energy dispatch strategy in this paper, an optimal sizing model is built with an economic objective. In addition, the environmental impacts are reduced to the objective function and the power supply reliability is added as constraints. By means of the modified artificial bee colony algorithm, the optimal sizing result of distributed energy in AC/DC hybrid stand-alone microgrid is obtained. Finally, the feasibility of energy dispatch strategy and optimization model is verified by example analysis. The optimal sizing result demonstrates that the energy dispatch strategy presented is more economical compared with traditional strategy.

关键词： AC/DC hybrid microgrid energy dispatch strategy optimal sizing modified artificial bee colony algorithm

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