Design optimization with chaos embedded great deluge algorithm

Baykasoğlu, Adil

doi:10.1016/j.asoc.2011.11.018

Cited by 78 publications

(27 citation statements)

References 54 publications

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“…is the search space of decision variables; S1(·) is a chaotic sequence-like iterative chaotic map with infinite collapses(ICMIC) [27]:…”

Section: Proposed Caro Techniquementioning

confidence: 99%

“…Due to non-repetitive nature of chaos, it can carry out overall searches at higher speeds than stochastic ergodic searches that is probabilistic in nature [20]. The combination of optimization techniques and chaotic sequences are important issues in nonlinear science and has attracted increased interests from various fields, such as chaotic particle swarm optimization [20,21], chaotic genetic algorithms [22], chaotic ant swarm optimization [23,24], chaotic bee colony algorithms [25], chaotic harmony search algorithm [26], chaos embedded great deluge algorithm [27]. The choice of chaotic sequence is justified theoretically by their spread-spectrum characteristic and ergodic properties.…”

Section: Introductionmentioning

confidence: 99%

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Parameter identification of bidirectional IPT system using chaotic asexual reproduction optimization

et al. 2014

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Bidirectional inductive power transfer (IPT) system facilitates contactless power transfer between two sides and across an air gap, through weak magnetic coupling. Typically, this system constitutes a high-order resonant circuit and, as such, is difficult to design and control. In this study, a novel technique for parameter identification of bidirectional IPT system is presented by using chaotic asexual reproduction optimization (CARO). The asexual reproduction optimization (ARO) is a novel kind of evolutionary-based algorithm that mathematically models the budding mechanism of asexual reproduction. The CARO employs chaotic sequence to enhance ARO's global searching ability. The parameter identification of a bidirectional IPT system is posed as an optimization process with an objective function minimizing the errors between the estimated and measured value. The implementation of the CARO-based parameter identification technique is analyzed in detail. Simulations are used to test the robustness and generalization ability of the proposed technique.

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“…is the search space of decision variables; S1(·) is a chaotic sequence-like iterative chaotic map with infinite collapses(ICMIC) [27]:…”

Section: Proposed Caro Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Parameter identification of bidirectional IPT system using chaotic asexual reproduction optimization

et al. 2014

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“…Although GDA was originally applied to the Traveler Salesman Problem, most of the research papers that use this method are in the area of scheduling problems and especially course and examination timetabling [18,19]. GDA has also been applied to other optimization problems like channel assignment in cellular communications [20], preventive maintenance optimization for multi−state systems [21], constrained mechanical optimization [22] and others. GDA is less common than other trajectory search meta−heuristics but its simplicity and single parameter tuning makes it a good candidate for several optimization problems that occur in practice.…”

Section: Genetic Algorithm and Great Delugementioning

confidence: 99%

“…The Decay Rate parameter DR is computed for each individual of the population by dividing the initial fitness value of the individual F(S) by the number of iterations ITER that GDA is allowed to perform. A new solution S' is generated from S using neighborhood functions similar to those described in [22]. Thus, for a variable referring to the voltage applied to a certain position i the new value V i * is computed based on the existing value V i and the following equation:…”

Section: Genetic Algorithm and Great Delugementioning

confidence: 99%

Actuator Location and Voltages Optimization for Shape Control of Smart Beams Using Genetic Algorithms

et al. 2013

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This paper presents a numerical study on optimal voltages and optimal placement of piezoelectric actuators for shape control of beam structures. A finite element model, based on Timoshenko beam theory, is developed to characterize the behavior of the structure and the actuators. This model accounted for the electromechanical coupling in the entire beam structure, due to the fact that the piezoelectric layers are treated as constituent parts of the entire structural system. A hybrid scheme is presented based on great deluge and genetic algorithm. The hybrid algorithm is implemented to calculate the optimal locations and optimal values of voltages, applied to the piezoelectric actuators glued in the structure, which minimize the error between the achieved and the desired shape. Results from numerical simulations demonstrate the capabilities and efficiency of the developed optimization algorithm in both clamped−free and clamped−clamped beam problems are presented.

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“…According to parameter system behaves chaotic or not chaotic [31,32]. x is the initial seed and is control parameter.…”

Section: Chaotic Mapsmentioning

confidence: 99%

A New Approach for Data Hiding based on Pixel Pairs and Chaotic Map

Doğan¹

2018

IJCNIS

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Abstract-In this paper, a new data hiding algorithm based on pixel pairs using chaotic map is proposed. Data hiding scheme is created by applying modulo function to pixel pairs. In here, pseudo random number generator (PRNG) is obtained from chaotic maps. The PRNG is very important for this algorithm since the data hiding coefficients are chosen by PRNG. For example, if the coefficient is 0, subtraction operator is used between pixel pairs. If coefficient is 1, summary operator is used for selected pixel pairs. The proposed algorithm is evaluated by embedding different sized secret data into different test images. This method is compared with the determined studies in the literature and the obtained results is evaluated. In this study, special rules are also defined to pixels which have boundary values for resolve overflow/underflow problem.Minimal changes are performed to reach the desired value of the pixel values. According to the results obtained, the proposed algorithm has high visual quality, good running time, secure and high payload capacity.

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Design optimization with chaos embedded great deluge algorithm

Cited by 78 publications

References 54 publications

Parameter identification of bidirectional IPT system using chaotic asexual reproduction optimization

Parameter identification of bidirectional IPT system using chaotic asexual reproduction optimization

Actuator Location and Voltages Optimization for Shape Control of Smart Beams Using Genetic Algorithms

A New Approach for Data Hiding based on Pixel Pairs and Chaotic Map

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