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Chaotic Coyote Optimization Algorithm SpringerLink

2021-4-13  Coyote Optimization Algorithm (COA) is classified as both swarm intelligence and evolutionary heuristic algorithms. However, getting trapped in a poor local optimum and the low convergence speed are the weaknesses of COA obviously. Due to these weaknesses, this paper proposes a new algorithm named Chaotic Coyote Optimization Algorithm (CCOA) which focusing on COA equipped with chaotic

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Chaos optimization algorithms based on chaotic maps

2014-4-1  The chaos optimization algorithm cannot always obtain global optimum, and it is easy to fall into local optimization of chaotic search, leading to its low efficiency. As a result, we make use of conventional gradient descent algorithms to solve the local optimization. Herein, we select the BFGS algorithm, one of robust and efficient quasi ...

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Chaotic particle swarm optimization for data clustering ...

2011-11-1  Chaotic particle swarm optimization (CPSO) In PSO, the main advantage of the chaotic optimization is the maintenance of population diversity in the problem of interest. According to studies conducted by Clerc and Kennedy, 2002, Trelea, 2003, the parameters w, c 1, c 2, r 1 and r 2 are generally the key factors affecting the typical PSO ...

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(PDF) Chaotic Optimization - ResearchGate

A novel approach symbolizing the principles of chaos and its application to evolutionary heuristics is discussed. The concept of local convergence and its symbolism to chaotic attractors is discussed.

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copper dewatering optimization - hitlershollywood

2021-7-7  copper dewatering optimization. In copper concentration plants approximately 40–60 of the total amount of water lost is retained in slurries in the tailings In this paper we present a method for optimizing the design of dewatering systems that employ hydrocyclones and thickeners

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A chaotic teaching learning based optimization algorithm ...

2018-10-18  This paper presents a teaching learning based algorithm for solving optimization problems. This algorithm is inspired through classroom teaching pattern either students can learn from teachers or from other students. But, the teaching learning based optimization (TLBO) algorithm suffers with premature convergence and lack of tradeoff between local search and global search.

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Chaotic gaining sharing knowledge-based optimization ...

2021-5-25  The gaining sharing knowledge based optimization algorithm (GSK) is recently developed metaheuristic algorithm, which is based on how humans acquire and share knowledge during their life-time. This paper investigates a modified version of the GSK algorithm to find the best feature subsets. Firstly, it represents a binary variant of GSK algorithm by employing a probability estimation operator ...

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Evaluating the shear resistance and ultimate dewatering ...

Costine, A, Lester, D, Fawell, P Chryss, A 2014, ‘Shear isn't mixing: how to build larger aggregates using chaotic advection for accelerated dewatering’, in RJ Jewell, AB

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Enhanced equilibrium optimization method with fractional ...

2021-2-8  In this study, enhanced equilibrium optimization (E 2 O) algorithm was proposed by developing stochastic processes in equilibrium optimization (EO) method with fractional order chaotic (FOC) system models. FOC model was firstly used in an optimization algorithm in this study. System responses of the fractional order chaotic models were used instead of random coefficients in the basic

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发表论文 - 科研成果 - 研究工作 - 上海交通大学海洋工程国家 ...

Optimization of combustion chamber geometry for natural gas engines with diesel micro-pilot-induced ignition 2016, 122: 552-563 ... On the numerical simulation of propagation of micro-level inherent uncertainty for chaotic dynamic systems

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A New Chaotic Starling Particle Swarm Optimization ...

A new method using collective responses of starling birds is developed to enhance the global search performance of standard particle swarm optimization (PSO). The method is named chaotic starling particle swarm optimization (CSPSO). In CSPSO, the inertia weight is adjusted using a nonlinear decreasing approach and the acceleration coefficients are adjusted using a chaotic logistic mapping ...

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Chaotic whale optimization algorithm Journal of ...

Chaotic maps are the maps which show complex and dynamic behavior in the non-linear systems (Pecora Carroll, 1990). Due to their dynamic behavior, chaotic maps have been widely acknowledged in the field of optimization which helps optimization algorithm in exploring the search space more vigorously and globally (Yang, Li, Cheng, 2007). In ...

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Chaotic-based Particle Swarm Optimization with Inertia ...

2021-8-17  proposed a chaotic particle swarm optimization (CPSO) that employs a Lorenz system, Tent map, and Henon map to generate random numbers used in the update position formula of PSO. Their experimental results have shown an improvement in the optimization ability compared to the standard PSO at the cost of a bit lower convergence. ...

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Multi-objective optimization method using an improved

2015-12-1  A multi-objective optimization model is proposed with maximizing overall oil production, minimizing overall water production and comprehensive energy consumption. • An improved fast elitist non-dominated sorting genetic algorithm II (I-NSGA-II) is proposed. • A new hybrid chaotic mapping model is established for population initialization. •

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Evaluating the shear resistance and ultimate dewatering ...

Costine, A, Lester, D, Fawell, P Chryss, A 2014, ‘Shear isn't mixing: how to build larger aggregates using chaotic advection for accelerated dewatering’, in RJ Jewell, AB Fourie, PS Wells and D van Zyl (eds), Proceedings of the 17th International Seminar on Paste

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Optimal structural control of tall buildings using tuned ...

2020-12-1  Chaotic maps have several properties, such as ergodicity, randomness, and sensibility. Ergodicity and randomness of chaos can avoid searching process trapping into local minima, and get rid of the shortcomings of traditional optimization algorithm .In this paper, to avoid the weakness of the local optima searching ability and improving the exploration and exploitation, two common one ...

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electroosmotic dewatering - jcc2019.cl

Electroosmotic dewatering of bentonite suspensions S. Ju, M. E. Weber and A. S. Mujumdar Department of Chemical Engineering, McGill University, Montreal, Canada Bentonite suspensions were dewatered by electroosmosis under conditions of constant DC voltage and constant DC current in a

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GitHub - alisafaa12/Nonlinear-based-Chaotic-Harris

NCHHO uses chaotic and nonlinear control parameters to improve HHO’s optimization performance. The main goal of using the chaotic maps in the proposed method is to improve the exploratory behavior of HHO. In addition, this paper introduces a nonlinear control parameter to adjust HHO’s exploratory and exploitative behaviours. The proposed NCHHO algorithm shows an improved performance using ...

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Journal of Renewable and Sustainable Energy

A multiple learning moth flame optimization algorithm with probability-based chaotic strategy for the parameters estimation of photovoltaic models. 59 Views. Dec 30 2015. Preface to Special Topic: Marine Renewable Energy. 16 citations 1123 Views. Jan 12 2010. Dewatering of microalgal cultures: A major bottleneck to algae-based fuels ...

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CPSOCGSA-for-Engineering-Design-Optimization

2019-10-23  CPSOCGSA-for-Engineering-Design-Optimization. Constriction Coefficient Based PSO and Chaotic GSA for Engineering Design Problems This is the 'Constriction Coefficient Based Particle Swarm Based Optimization and Chaotic Gravitational Search Algorithm (CPSOCGSA) Mathlab code for Solving Mechanical and Civil Engineering design Problems.

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A new optimization algorithm based on chaotic maps and ...

2016-4-1  Chaotic behaviors have resemblance to randomness, and they are untidy though they are created by deterministic iteration formulas (Bucolo et al., 2002, He et al., 2009, Li and Jiang, 1998, Tavazoei and Haeri, 2007). Chaotic optimization methods are based on the regularity of chaotic motion in the original feasible space of the problem.

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A Novel Optimization Method for Bipolar Chaotic

2021-7-31  The RIP properties of the bipolar chaotic Toeplitz mea-surement matrix have been effectively demonstrated in [9] and are not repeated here. The focus of this paper is on the optimization of the bipolar chaotic Toeplitz measurement matrix. Although the bipolar chaotic Toeplitz measurement matrix constructed using Equation (6) can satisfy the RIP

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Chaotic grey wolf optimization algorithm for constrained ...

Chaotic grey wolf optimization algorithm. In spite of having good convergence rate, GWO still cannot always perform that well in finding global optima which affect the convergence rate of the algorithm. So, to reduce this affect and improve its efficiency, CGWO algorithm is developed by introducing chaos in GWO algorithm itself. ...

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Optimization of Integer/Fractional Order Chaotic Systems ...

2021-5-10  Mathematicians have devised different chaotic systems that are modeled by integer or fractional-order differential equations, and whose mathematical models can generate chaos or hyperchaos. The numerical methods to simulate those integer and fractional-order chaotic systems are quite different and their exactness is responsible in the evaluation of characteristics like Lyapunov

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GitHub - alisafaa12/Nonlinear-based-Chaotic-Harris

NCHHO uses chaotic and nonlinear control parameters to improve HHO’s optimization performance. The main goal of using the chaotic maps in the proposed method is to improve the exploratory behavior of HHO. In addition, this paper introduces a nonlinear control parameter to adjust HHO’s exploratory and exploitative behaviours. The proposed NCHHO algorithm shows an improved performance using ...

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A Chaotic Hybrid Immune Genetic Algorithm for Spectrum ...

2020-9-23  A Chaotic Hybrid Immune Genetic Algorithm for Spectrum Allocation Optimization in ICRSN. Mengying Xu,1 Jie Zhou,1 and Yi Lu1. 1College of Information Science and Technology, Shihezi University, Shihezi, Xinjiang 832003, China. Academic Editor: Ka L. Man.

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An Adaptive Shrinking Grid Search Chaotic Wolf ...

2020-5-18  To improve the optimization quality, stability, and speed of convergence of wolf pack algorithm, an adaptive shrinking grid search chaotic wolf optimization algorithm using standard deviation updating amount (ASGS-CWOA) was proposed. First of all, a ...

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Methods to reliably estimate faecal sludge quantities and ...

2018-8-31  chaotic mixture of inappropriately and haphazardly constructed con-tainment for the onsite storage of sludge, with no level of standardi-zation (Isunju et al., 2013). For example, a simplified classification of onsite systems in Dar es Salaam, Tanzania included pit latrines that were lined, unlined, partially lined, improved, collapsed ...

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Multi-agent hybrid particle swarm optimization (MAHPSO ...

2019-3-15  It is defined as the percentage of times that optimization tools can find the global optimum (i.e., the lowest system cost). The term was used to represent the performances of optimization methods for transportation planning (Chang Wook and Ramakrishna, 2002; Zhang et al., 2010). The higher the optimality was, the better the algorithm was.

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Jean Zu - Stevens Institute of Technology

"Chaotic Motion of a Magnetic Rigid Satellite in an Orbit near the Equational Plane of the Earth", CANCAM 2001, St. Johns, Canada. R. Ben Mrad, A. Abhari and Jean W. Zu. (Jun 27-29, 2001). "A Controller for an Inchworm Piezomotor", Proceeding of the IASTED

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