检索结果-内蒙古大学图书馆

A cooperative and competitive krill herd algorithm for structural optimization

ENGINEERING OPTIMIZATION 2025年第2期57卷 478-513页

作者： Cheng, Lixiang Zhao, Yan-Gang Yan, Lewei Kanagawa Univ Dept Architecture Yokohama Japan Beijing Univ Technol Sch Civil Engn Beijing Peoples R China Guangzhou Univ Sch Civil Engn Guangzhou Peoples R China

This article proposes a novel method, named the cooperative and competitive krill herd (CCKH) algorithm, in which both cooperative strategy and competitive strategy are introduced to solve the structural optimization. In the cooperative strategy, a crossover operator is established between the 'best krill' and 'food' to generate 'cooperative krill', which facilitates a balance between global exploration and local exploitation. In the competitive strategy, krill individuals with poor fitness are replaced with robust 'competitive krill' to accelerate global convergence. Then, the experimental results from CEC2017 benchmark functions demonstrate that, compared with other algorithms, CCKH shows superiority in most cases. Finally, six structural optimizations are used to evaluate the robustness of CCKH compared with other techniques. It is found that as the complexity of the structure increases, the competitiveness of CCKH becomes more pronounced, and the time complexity of the presented method is not affected by the two strategies.

关键词： Structural optimization robustness krill herd algorithm cooperative strategy competitive strategy

来源：评论

学校读者我要写书评

暂无评论

krill herd algorithm applied to short-term hydrothermal scheduling problem

引用

AIN SHAMS ENGINEERING JOURNAL 2018年第1期9卷 31-43页

作者： Roy, Provas Kumar Pradhan, Moumita Paul, Tandra Jalpaiguri Govt Engn Coll Dept Elect Engn Jalpaiguri W Bengal India Dr BC Roy Engn Coll Dept Comp Sci & Engn Durgapur W Bengal India Natl Inst Technol Dept Comp Sci & Engn Durgapur W Bengal India

In this paper, krill herd algorithm (KHA) technique is employed to solve the short-term hydrothermal scheduling (HTS) problem. In this article, the potentialities of DE are used in KHA technique to improve the convergence speed and robustness. The practical short-term HTS problem is solved here using KHA technique in which the crossover and mutation operation of differential evolution algorithm (DEA) is employed to efficiently control the local and global search, so that premature convergence may be avoided and global solutions can be achieved. The quality and usefulness of the proposed algorithm is demonstrated through its application to two standard test systems. The simulation results reveal that the current proposal is better in comparison with the other existing techniques in terms of computational time and the quality of the solutions obtained. (C) 2015 Faculty of Engineering, Ain Shams University. Production and hosting by Elsevier B.V.

关键词： Hydrothermal scheduling Valve point loading Differential evolution Evolutionary algorithms krill herd algorithm

来源：评论

学校读者我要写书评

暂无评论

krill herd algorithm for optimal location of distributed generator in radial distribution system

引用

APPLIED SOFT COMPUTING 2016年 40卷 391-404页

作者： Sultana, Sneha Roy, Provas Kumar Dr BC Roy Engn Coll Dept Elect Engn Durgapur W Bengal India

Distributed generator (DG) is recognized as a viable solution for controlling line losses, bus voltage, voltage stability, etc. and represents a new era for distribution systems. This paper focuses on developing an approach for placement of DG in order to minimize the active power loss and energy loss of distribution lines while maintaining bus voltage and voltage stability index within specified limits of a given power system. The optimization is carried out on the basis of optimal location and optimal size of DG. This paper developed a new, efficient and novel krill herd algorithm (KHA) method for solving the optimal DG allocation problem of distribution networks. To test the feasibility and effectiveness, the proposed KH algorithm is tested on standard 33-bus, 69-bus and 118-bus radial distribution networks. The simulation results indicate that installing DG in the optimal location can significantly reduce the power loss of distributed power system. Moreover, the numerical results, compared with other stochastic search algorithms like genetic algorithm (GA), particle swarm optimization (PSO), combined GA and PSO (GA/PSO) and loss sensitivity factor simulated annealing (LSFSA), show that KHA could find better quality solutions. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Radial distribution system Distributed generators Loss reduction Evolutionary algorithms krill herd algorithm Differential evolution

来源：评论

学校读者我要写书评

暂无评论

krill herd algorithm for Signal Optimization of Cooperative Control With Traffic Supply and Demand

引用

IEEE ACCESS 2019年 7卷 10776-10786页

作者： Li Zhihui Cao Qian Zhao Yonghua Tao Pengfei Zhuo Rui Jilin Univ Sch Transportat Changchun 130022 Jilin Peoples R China Jilin Univ Publ Comp Educ & Res Ctr Changchun 130022 Jilin Peoples R China

As a novel signal control method, signal Cooperative Control with traffic Supply and Demand (CCSD) is superior to the traditional control methods and could satisfy the control requirements under all traffic conditions. However, the optimization solution of CCSD cannot meet the real-time control requirement for its exhaustive search. To overcome the problem, in this paper, the optimization problem of CCSD is reconstructed by the time-varying traffic supply and demand, and the problem is reduced as a problem of space search. Then, the krill herd (KH) algorithm is introduced and employed to realize the fast solution of CCSD (named KH-CCSD). During the process of optimization, the search space representation and fitness function for the KH algorithm are constructed to satisfy the solution of CCSD. The optimal signal timing plan is obtained by an iterated search of hill swarm in a multi-dimensional time-varying space cooperatively constrained by traffic supplies and demands. The convergence and effectiveness of KH-CCSD are validated by comparing experiments, in which the convergence of KH-CCSD is tested by different initializations and KH-CCSD is compared with the Webster method and capacity-aware backpressure (CABP) control under unsaturated, saturated, and oversaturated conditions. The experiments results show that KH-CCSD performs a fast convergence and KH-CCSD is superior to the Webster method and CABP. As a result, KH-CCSD could satisfy the application of CCSD under all traffic conditions.

关键词： KH-CCSD krill herd algorithm signal cooperative control traffic supply and demand

来源：评论

学校读者我要写书评

暂无评论

krill herd algorithm for optimum design of truss structures

引用

INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2013年第5期5卷 281-288页

作者： Gandomi, Amir Hossein Talatahari, Siamak Tadbiri, Faraz Alavi, Amir Hossein Univ Akron Dept Civil Engn Akron OH 44325 USA Univ Tabriz Marand Fac Engn Tabriz *** Iran Islamic Azad Univ Shabestar Branch Dept Struct Engn Shabestar 538165 Iran Michigan State Univ Dept Civil & Environm Engn E Lansing MI 48824 USA

krill herd (KH) algorithm, as a new metaheuristic optimisation, is developed to solve truss optimisation problems. The KH methodology draws its analogy from the herding behaviour of krill individuals in nature. The objective function for the krill movement is mostly influenced by the least distances of each krill individual from food and from highest density of the herd. The new algorithm is examined by solving three truss design optimisation problems and its performance is further compared with various classical and advanced algorithms.

关键词： metaheuristic optimum design truss structures krill herd algorithm

来源：评论

学校读者我要写书评

暂无评论

krill herd algorithm for automatic generation control with flexible AC transmission system controller including superconducting magnetic energy storage units

引用

JOURNAL OF ENGINEERING-JOE 2016年第5期2016卷 147-161页

作者： Guha, Dipayan Roy, Provas Kumar Banerjee, Subrata Dr BC Roy Engn Coll Dept Elect Engn Durgapur W Bengal India Jalpaiguri Govt Engn Coll Dept Elect Engn Jalpaiguri W Bengal India Natl Inst Technol Durgapur Dept Elect Engn Durgapur W Bengal India

This study presents an optimisation technique, called krill herd algorithm (KHA), for the effectiveness and performance analysis of an interconnected automatic generation control (AGC) system. A two-area multi-unit hydro-hydro (HH-HH) power system equipped with classical I-controller and two other test systems: namely, thermal-thermal, thermal-hydro which are widely available in literature are considered for design and analysis purpose. Eigenvalues analysis assesses that HH-HH power system is highly unstable under small load perturbation. To stabilise this power system, different frequency stabilisers such as superconducting magnetic energy storage, thyristor control phase shifter, static synchronous series compensator etc. are proposed in AGC system. Optimum gains of the controller and frequency stabiliser are evaluated using KHA. Integral square error criterion is used to minimise the area control error, which is considered as an objective function. The superiority of the proposed algorithm is checked by means of an extensive comparative analysis with the results published in recent research algorithms such as craziness-based-particle swarm optimisation and real coded genetic algorithm etc. for the same test system.

关键词： flexible AC transmission systems superconducting magnet energy storage power generation control hydroelectric power genetic algorithms integral square error criterion thyristor control phase shifter superconducting magnetic energy storage thermal-hydro system thermal-thermal system two-area multi-unit hydro-hydro power system interconnected automatic generation control system superconducting magnetic energy storage units flexible AC transmission system controller automatic generation control krill herd algorithm

来源：评论

学校读者我要写书评

暂无评论

Solution of optimal power flow with FACTS devices using a novel oppositional krill herd algorithm

引用

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2016年 78卷 700-714页

作者： Mukherjee, Aparajita Mukherjee, V. Indian Sch Mines Dept Elect Engn Dhanbad 826004 Jharkhand India

krill herd algorithm (KHA) is a novel meta-heuristic approach that is influenced from the herding behaviour of the krill swarms searching for food or communication with each other. The proposed opposition based KHA (OKHA) is intended here, for solving the optimal power flow (OPF) problem of power system, incorporating flexible AC transmission systems (FACTS) devices, namely, thyristor controlled series capacitor and thyristor controlled phase shifter. In the proposed OKHA, the concept of opposition based population initialization and opposition based generation jumping are employed in the basic KHA to enhance its computational speed and convergence profile. The potential of the proposed OKHA is assessed, successfully, on modified IEEE-30 bus and IEEE-57 bus test power systems. The four different objective functions are formulated here that reflects the minimization of fuel cost, active power transmission loss, emission and combined economic and environmental cost, separately. Simulation results, presented in this paper, indicate that the proposed approach yields superior solution over the other popular methods surfaced in the recent state-of-the-art literature including basic KHA and also show its effectiveness for the solution of OPF problem of power system equipped with FACTS devices. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： FACTS devices krill herd algorithm Opposite number Optimal power flow Optimization

来源：评论

学校读者我要写书评

暂无评论

Optimal power flow using krill herd algorithm

引用

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 2015年第8期25卷 1397-1419页

作者： Roy, Provas Kumar Paul, Chandan Dr BC Roy Engn Coll Dept Elect Engn Durgapur W Bengal India

In this article, an efficient optimization procedure based on herding behavior of krill individuals, krill herd algorithm (KHA), for the solution of multi-objective optimal power flow (OPF) with the objective of fuel cost minimization, voltage deviation minimization and voltage stability improvement is proposed. This algorithm is based on the effect of the influence of a teacher on the output of learners in a class. The proposed KHA approach is carried out on the standard IEEE 30-bus, IEEE 57-bus and IEEE 118-bus systems to solve different single and multi-objective OPF problems. Simulation results of the proposed approach are compared to differential evolution (DE), modified DE (MDE), multi-objective DE (MODE), evolving ant direction DE (EADDE), particle swarm optimization (PSO), improved genetic algorithm (IGA), gradient method, biogeography-based optimization (BBO), PSO with inertia weight approach (PSOIWA), PSO with constriction factor approach (PSOCFA), real-coded GA (RGA), artificial bee colony (ABC), general passive congregation PSO (GPAC), local passive congregation PSO (LPAC), coordinated aggregation (CA), interior point method (IPM) and quantum-inspired evolutionary algorithm (QEA). The comparison demonstrates the superiority of the proposed approach and confirms its potential to solve multi-objective OPF problems. Copyright (c) 2014 John Wiley & Sons, Ltd.

关键词： krill herd algorithm evolutionary algorithm multi-objective optimization optimal power flow valve point loading voltage stability

来源：评论

学校读者我要写书评

暂无评论

A comprehensive review: krill herd algorithm (KH) and its applications

引用

APPLIED SOFT COMPUTING 2016年 49卷 437-446页

作者： Bolaji, Asaju La'aro Al-Betar, Mohammed Azmi Awadallah, Mohammed A. Khader, Ahamad Tajudin Abualigah, Laith Mohammad Fed Univ Wukari Dept Comp Sci Fac Pure & Appl Sci PMB 1020 Wukari Taraba State Nigeria Al Balqa Appl Univ Dept Informat Technol Al Huson Univ Coll POB 50 Irbid Jordan Al Aqsa Univ Dept Comp Sci POB 4051 Gaza Israel Univ Sains Malaysia Sch Comp Sci George Town 11800 Malaysia

krill herd (KH) algorithm is a class of nature-inspired algorithm, which simulates the herding behavior of krill individuals. It has been successfully utilized to tackle many optimization problems in different domains and found to be very efficient. As a result, the studies has expanded significantly in the last 3 years. This paper presents the extensive (not exhaustive) review of KH algorithm in the area of applications, modifications, and hybridizations across these fields. The description of how KH algorithm was used in the approaches for solving these kinds of problems and further research directions are also discussed. (C) 2016 Elsevier B.V. All rights reserved.

关键词： krill herd algorithm Swarm intelligence algorithms Nature-inspired algorithms Metaheuristics

来源：评论

学校读者我要写书评

暂无评论

An enhanced security-aware dynamic packet scheduling scheme for wireless networks using intelligent time slice-based krill herd algorithm

引用

JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS 2018年第16期32卷 2135-2156页

作者： Singh, Surendra Tripathi, Sachin Kumar, Nitin Indian Inst Technol ISM Dhanbad Bihar India Natl Inst Technol Uttarakhand Srinagar Uttarakhand India

Wireless networks perform computing on grouped users together through networks that suffer with improper scheduling and less security awareness results in terms of bandwidth, increase in error rate, power constraints, authentication problem, etc. In order to tackle these problems, an enhanced security-aware dynamic packet scheduling is implemented by utilizing integrated speed packet scheduling which utilizes node distribution by the krill herd algorithm and packet evaluation by intelligent time slice, and reducing the dimensionality of packets with some evolutionary techniques for transmission. To protect these packets from attacks during transmission, the packets are secured by identifying the malicious node and protecting them with proper authentication by PKI (public key infrastructure) with the handshake of secure exchange of distributed signatures. The experimental execution in NS-3 simulator outcomes shows that the proposed system is more efficient in the packet delivery ratio and security than other existing techniques.

关键词： krill herd algorithm intelligent time slice distributed signatures earliest deadline first scheduling algorithm encryption

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：