The proposed key generation method was programmed by javascript language. Chicken swarm as a multi step algorithm for global. Particle swarm optimization the particle swarm optimization pso algorithm is a populationbased search algorithm based on the simulation of the social behavior of birds within a. The chicken can be divided into several groups, one rooster and several. The ultrasonic machining usm process has been analyzed in the present study to obtain the desired process responses by optimizing machining parameters using cuckoo search cs and chicken swarm optimization cso, two powerful natureinspired, population and swarm intelligencebased metaheuristic algorithms. The initial intent of the particle swarm concept was to graphically simulate the graceful. Mar 19, 2018 one of the newest bioinspired metaheuristic algorithms is the chicken swarm optimization cso algorithm. Truss structure optimization based on improved chicken swarm. In order to enhance the statistic accuracy, a new algorithm based on chicken swarm optimizationcso and mobile anchor was established in wsn. Application of improved chicken swarm optimization for mppt in. Apr 30, 2020 renewable energy becomes a key contributor to our modern society, but their integration to power grid poses significant technical challenges. All depends on the fitness values best fitness worst fitness and the rest are each would be the head rooster in a group the hens randomly choose which group to live in. In the basic chicken swarm optimization algorithm, the concept of combining chaos strategy and reverse learning strategy was introduced in the. Gcso mainly improves the sequential cso in three aspects.
Aiming at attacking these two problems of cso, in this paper, we propose an. Enhancing the performance of the greedy algorithm using. Firefly algorithm, fractional firefly algorithm, chicken swarm optimization. The chicken swarm optimization cso algorithm was originally proposed by meng et al. Chicken swarm optimization cso algorithm which is one of the most recently introduced optimization algorithms, simulates the intelligent foraging. In 2014, chinese scholar meng proposed the chicken swarm optimization cso 14, which was a groupbased stochastic optimization algorithm. Theoretically, it is a global optimization algorithm. The improved chicken swarm optimization increases the chickens diversity and selflearning ability. The optimization of the objective function is based on the cooperative nature of the swarm individuals namely head.
In this paper, a proposed model for generating a random key is presented, which will be used for security purposes. Chicken swarm optimization for pts based papr reduction in. The chicken swarm optimization cso algorithm is a naturalinspired algorithm that simulates the hierarchy of the chicken swarm and the behavior of the chicken swarm, including roosters, chickens and chicks in their search for food and lifestyle, first proposed in 2014 by xian bin meng et al. One of the major challenge of this scheme is to find an optimal phase vector using exhaustive search over all the allowed phase factor combinations. Researcharticle chicken swarm optimization based on elite oppositionbased learning chiwenqu,1 shianzhao,2 yanmingfu,3 andweihe1 1schoolofinformationengineering. Ultrasonic machining process optimization by cuckoo search. In this paper, the basic chicken swarm optimization algorithm is improved from the constraint function and the evolutionary mechanism. The time tabling problem is a well known graph coloring problem. The traditional chicken swarm optimization algorithm cso easily falls into a local optimum when solving highdimensional problems due to its own characteristics.
Many realworld optimization problems are difficult to solve by gradientbased classical optimization algorithms. Truss structure optimization based on improved chicken. Besides, it is a highdimensional optimization problem. The multiobjective cdcso algorithm incorporates the chaotic and darwinian theory to the standard chicken swarm optimization to increase its global. Chicken swarm optimization for pts based papr reduction. The major power quality concerns are voltage sag, swell, fluctuations, distortion, and interruption which are caused by noncontrollable variability of renewable energy resources. Chicken swarm optimization cso is a bioinspired algorithm that imitates the behavior of chicken swarm hierarchically to find an optimal solution 20. The optimization of the objective function is based on the cooperative nature of the swarm. Researcharticle improved chicken swarm optimization method for reentry trajectory optimization yuwu,1 boyan,1 andxiangjuqu2 collegeofaerospaceengineering,chongqinguniversity,chongqing, china. However, there are two apparent problems with the cso algorithm, i. Pdf chicken swarm optimization for economic dispatch with. Deadlockfree migration for virtual machine consolidation using chicken swarm optimization algorithm feng tian a,b, rong zhanga,b, jacek lewandowskic,d, kuoming chaoc, longzhuang li e and bo dong a a the moe key lab for inns, xian jiaotong university, xian 710049, p. An adaptive fuzzy chicken swarm optimization algorithm. Pdf enhancing the performance of the greedy algorithm using.
The chicken swarm can be split into many groups, every of which formed of one rooster and many. However, as a multi swarm optimization, there are so many parameters should be set. Algorithm chicken swarm optimization algorithm cso is used for optimally setting the values of the control variables. Mimicking the hierarchal order in the chicken swarm and the behaviors of the chicken swarm, including roosters, hens and chicks, cso can efficiently extract the chickens swarm intelligence to optimize problems. Moreover, we discuss some decent optimization using evolutionary algorithms including butterfly optimization algorithm boa, chicken swarm optimization. Ultrasonic machining process optimization by cuckoo search and chicken swarm optimization algorithms. In this paper, we present a novel approach for solving the exam time tabling problem by enhancing the performance of the greedy algorithm using by modifying the chicken swarm optimization cso. Mar 01, 2019 chicken swarm optimization cso is a recent bioinspired algorithm for single objective optimization meng et al.
Chicken swarm optimization for pts based papr reduction in ofdm systems partial transmit sequence pts is a wellknown papr reduction scheme for the ofdm system. An efficient chicken search optimization algorithm for the. It is a stochastic optimization algorithm and mimics the hierarchical order and the behaviors of the chicken swarm. Cso performance is compared with other optimization techniques on twelve benchmark problems. Shortterm wind power prediction based on improved chicken. So that, to obtain the better performance of clustering, we propose in this paper to use cso algorithm. The cso is a recently developed algorithm and is with less number of operators. Power quality enhancement in grid connected hybrid pvwt. To illustrate our point, we present in this paper, an optimization model including several swarm algorithms.
The chicken swarm consists of several groups, each group has a dominant rooster, a couple of hens and chicks. Chicken swarm optimization cso is a recent bioinspired algorithm for single objective optimization meng et al. Image segmentation algorithm based on improved constrained. In this study, the improved chicken swarm algorithm optimization support vector machine icsosvm model is proposed to predict the wind power. Swarm optimization algorithm can obtain better results in terms of various. Chicken swarm optimization algorithm, tabu search and a new hybrid algorithm. Propose a new approach for key generation based on chicken. By simplifying and idealizing the genetic evolution process, different kinds of eas have been proposed and used in a wide range of. This article focuses on how to design an efficient gpu. Yu wu, bo yan, xiangju qu, improved chicken swarm optimization method for reentry trajectory optimization, mathematical problems in engineering, vol. While new algorithms, including chicken swarm optimization cso 19, krill herd algorithm kha 20, grey wolf optimization gwo 21 etc.
Chicken swarm as a multi step algorithm for global optimization. Chicken swarm optimization algorithm was put forward by taiwanese scholar pan. Integration of optimized neural network and convolutional. The chicken swarm optimization is a novel swarm intelligence algorithm.
Deadlockfree migration for virtual machine consolidation. Introduction the complexity of engineering optimization problem is increasing day by day. These are inspired by the swarm behavior of honey bees, cuckoos, bats, grey wolves, chickens and krill, respectively. A hybrid chicken swarm optimization with tabu search algorithm. Multipath data transmission in iot networks using fractional. Pdf enhancing the performance of the greedy algorithm. The motherchild relationship is also randomly established. A hybrid chicken swarm optimization with tabu search. May 01, 2017 12 chicken swarm optimization cso chickens behaviors rules 1 chicken swarm divided into groups each groupa dominant, a couple of and 2 group division methodology. Chicken swarm optimization algorithmcso was proposed by xianbingmen of shanghai maritime univeristy in 2014. An innovative multiobjective chaotic darwinian chicken swarm optimization cdcso system is suggested in this article to provide energy efficient qos and load balancing aware task scheduling. The result showed to compare with the particle swarm optimization support vector machine model and. A framework of clustering based on chicken swarm optimization. Pdf chicken swarm optimization for pts based papr reduction.
Wireless sensor network node localization algorithm. A new modified of chicken swarm optimization cso algorithm called multi step cso is proposed for global optimization. Wireless sensor network wsn 1 is a selforganizing network. Application of improved chicken swarm optimization for mppt. A new bioinspired algorithm, chicken swarm optimization cso, is proposed for optimization applications. The diverse movements of the chickens create a balance between the local and the global search for finding the optimal solution. Chicken swarm optimization cso and html parser are used for scattering the bits of the key. Cross over operated roosterbased chicken swarm optimization citation thangarajan, s. Neurofuzzy inference system anfis using chicken swarm optimization for solving classification problems, and in 17 liang et al. Realtime intelligent thermal comfort prediction model. Cso mimics the hierarchical order and the behaviors of a chicken swarm during the search for food, where each chicken represents a potential solution to an optimization problem. An improved chicken swarm optimization algorithm is proposed.
To reduce the number of parameters, in this paper, we modify the chicken optimization as a multi swarm optimization be a multi step optimization. Chicken swarm optimization for economic dispatch with. It is a challenging problem owing to its strong nonlinearity in motion equations and constraints. The improved chicken swarm optimization includes four aspects, namely, cock position update mode, hen position update mode, chick position update mode, and population update strategy, so it is. Consolidation using chicken swarm optimization algorithm feng tian a,b, rong zhanga,b, jacek lewandowskic,d, kuoming chaoc, longzhuang li e and bo dong a a the moe key lab for inns, xian jiaotong university, xian 710049, p. To improve the efficiency of the structural optimization design in truss calculation, an improved chicken swarm optimization algorithm was proposed for truss structure optimization.
The results show that the proposed hybrid grey wolf and chicken. China b systems engineering institute, xian jiaotong university, xian 710049, p. Improved chicken swarm optimization method for reentry. Cso can achieve optimization results both accuracy and robustness optimization in terms compared to previous single swarm optimization algorithms. The chicken swarm optimization algorithm is a new biology optimization algorithm, but its high. In this paper, a method based on improved boundary chicken swarm optimization ibcso is. An ecsobased approach for optimizing degree distribution. The whole chicken swarm is divided into several subgroups, and there are one rooster, some hens, and several chicks in each subgroup. Distributed systematic gridconnected inverter using igbt. Jan 29, 2017 in this study, a hybrid heuristic swarm intelligence optimisation algorithm called cuckoo search chicken swarm optimisation cscso is proposed to optimise the excitation amplitude of a linear antenna array laa and the excitation amplitude and spacing between the array elements of a circular antenna array caa. Publishers pdf, also known as version of record published under the following license. So the cso algorithm is improved and the icso algorithm is developed. This paper presents a memetic chicken swarm optimization mecso to solve job shop scheduling. Applications of natureinspired algorithms for dimension.
A dynamic task scheduling framework based on chicken swarm. Chicken swarm optimization based on elite oppositionbased. The statistical tests of randomness have given good and acceptable security results. Memetic chicken swarm algorithm for job shop scheduling problem. Chicken swarm optimization is a new intelligent bionic algorithm, simulating the chicken swarm searching for food in nature. Author links open overlay panel djaafar zouache a yahya ould arby a farid nouioua b fouad ben abdelaziz c. Mimicking the hierarchal order in the chicken swarm. A hybrid algorithm using grey wolf and chicken swarm for. Application of improved chicken swarm optimization for. An innovative approach for feature selection based on chicken. Maximum likelihood direction of arrival estimation using. This algorithm is inspired by the hierarchical behavior of chickens in a swarm for finding food. Optimization of wireless sensor networks based on chicken swarm. The algorithm can be coded in any programming language easily.
In this paper the capacitated vehicle routing problem solved by. A hybrid multiobjective chicken swarm optimization and teaching learning based algorithm for charging station placement problem sanchari deb 1, student member, ieee, kari tammi 2, member, ieee, xiaozhi gao 3, karuna kalita 4,5, and pinakeswar mahanta 4,5 1centre for energy, indian institute of technology, guwahati 781039, india. Research article a parameter estimation method for nonlinear. In essence, cso uses the four following rules to idealize the behavior of chickens. Chicken swarm optimization chicken swarm optimization cso based on the chicken behavior was proposed by meng et al 1. This work adjusts and adapts some swarm intelligence algorithms, in order to apply it to threedimensional reconstruction of 3d real objects using supershapes.
The chicken swarm optimization cso algorithm is a new swarm intelligence optimization sio algorithm and has been widely used in many engineering domains. This paper suggests a novel optimizer for optimization of linear and nonlinear programming problems in continuous state. For the problem that the typical chicken swarm optimization can easily fall into a local optimum in solving highdimensional problems, an. The invasive weed optimization iwo algorithm is a stochastic algorithm inspired by the colonial behavior of weeds that was first proposed in 2006 by mehrabian and lucas.
Reentry trajectory optimization has been researched as a popular topic because of its wide applications in both military and civilian use. Introduction a manet is a self determining infrastructure less system in which grouping mobile nodes i. In this paper, an improved chicken swarm optimization icso method is proposed considering that the. Introduction internetofthings iot is an innovative paradigm that has gained immense attention due to its efficient and novel pattern of turning objects into smart devices to enable connection to internet 1. Chicken swarm optimization csois a new bioinspired algorithm mimicking the hierarchal order of the chicken swarm and the behaviors of chicken swarm. Chicken swarm optimization for economic dispatch with disjoint. Apr 25, 2019 aiming at the problem of slow convergence speed and ease of falling into local optimum when solving high dimensional problems, this paper proposes an improved chicken swarm optimization algorithm. The random key plays a basic role in the design of any cryptographic algorithms. The cso mimicking the hierarchal order in the chicken swarm and the behaviors of the chicken swarm, including roosters, hens and chicks. Hybrid invasive weed optimization algorithm with chicken. A hybrid multiobjective chicken swarm optimization and teaching learning based algorithm for charging station placement problem. This paper attempts to investigate the applicability of chicken swarm optimization algorithm cso to solve extremely challenging nonconvex economic load. The prediction model of the improved chicken swarm optimization support vector machine is proposed to forecast the module junction temperature. In the improved algorithm, initial positions are arranged according to chaotic sequence.
A hybrid multiobjective chicken swarm optimization and. Keywords chaotic sequence, improved chicken swarm optimization, inertia weight, maximum power point tracking, photovoltaic system. Improvement and application of chicken swarm optimization for. Improved chicken swarm optimization method for reentry trajectory optimization yuwu,1 boyan,1 andxiangjuqu2 collegeofaerospaceengineering,chongqinguniversity,chongqing, china. A novel algorithm for solving multiobjective optimization problems. It is a kind of heuristic optimization algorithm with better convergence accuracy and robustness.
Unlimited viewing of the articlechapter pdf and any associated supplements and figures. Mwcsgamulti weight chicken swarm based genetic algorithm. Pdf comparative analysis of swarmbased metaheuristic. Cso outperforms these techniques in terms of accuracy and robustness. However, there are many constraints regarding exam time tabling.
The basic chicken swarm optimization algorithm has the problems of slow convergence rate and easy to fall into the local optimality. Aug 29, 2019 to obtain an operation curve of a train with minimum energyconsumption and improve the utilization of regenerative braking energy without changing equipment and infrastructure, this paper proposes a new optimization method of energysaving for a train based on an improved chicken swarm optimization algorithm after analyzing the calculation method of energyconsumption for a train and. Research article a parameter estimation method for. The cso algorithm simulates the chicken swarm searching for the best parameter employs the fitness function of these. Chicken swarm optimization cso based on the chicken behavior was proposed by meng et al. Each group comprises a dominant rooster, a couple of hens, and chicks. Research on optimization of train energysaving based on. Maximum likelihood direction of arrival estimation using chicken swarm optimization algorithm abhinav sharma department of electrical and electronics engineering, university of petroleum and energy studies, dehradun, uttarakhand, india.
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