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imperialist competitive algorithm with Effective Assimilation Strategy: A Comparative Study on Numerical Benchmark Functions

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IETE JOURNAL OF RESEARCH 2020年第5期66卷 697-710页

作者： Davoodi, Elnaz Babaei, Ebrahim Mohammadi-ivatloo, Behnam Univ Tabriz Fac Elect & Comp Engn Tabriz Iran Near East Univ Engn Fac Mersin 10 TR-99138 Nicosia North Cyprus Turkey

In recent years, the nature-inspired optimization algorithms known as intelligent optimization methods have been applied successfully for solving the different problems, along with the well-known mathematical methods. One of the new evolutionary algorithms presented lately is the imperialist competitive algorithm (ICA). This algorithm is based on the behaviour of imperialists in their attempt to conquer the colonies. In this paper, the original ICA has been extended and a new version of ICA has been proposed entitled "MICA". The proposed MICA uses an efficient assimilation strategy to enhance the global exploration ability and to preserve a premature convergence. This new assimilation scheme uses the most powerful imperialist's information to update. To validate the efficiency of the proposed algorithm, MICA is tested on a set of 28 non-linear benchmark functions with various dimensions and complexities. The results demonstrate that the proposed strategy enables the modified ICA to have better or at least comparable outcomes in comparison with the original ICA and the other state-of-the-art approaches at handing different types of problems.

关键词： Assimilation strategy Evolutionary algorithms imperialist competitive algorithm Modified imperialist competitive algorithm Time-varying coefficients

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imperialist competitive algorithm-based adaptive fuzzy control of a pneumatic actuator

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING 2014年第1期228卷 26-41页

作者： Ahmadi, A. R. Tavakolpour-Saleh, A. R. Yazdani, A. M. UTM Fac Elect Engn Dept Control & Instrumentat Engn Skudai Malaysia Shiraz Univ Technol Dept Appl Mech Fac Mech & Aerosp Engn Shiraz *** Iran Islamic Azad Univ Dept Elect & Comp Engn Naein Iran

This article presents an investigation into the application of a constrained imperialist competitive algorithm with a new penalty function to optimize an adaptive fuzzy proportional-integral-derivative controller for a pneumatic actuator. The integral absolute error and the maximum overshoot of the control system are considered as the cost functions. The constrained imperialist competitive algorithm-based optimization scheme is thus conducted to obtain the best structure of the fuzzy proportional-integral-derivative controller involving optimum shape and location of membership functions and suitable value of scale factors. Then, a simulation study based on the identified model of the pneumatic actuator and three control approaches namely conventional proportional-integral-derivative control, genetic algorithm-based adaptive fuzzy proportional-integral-derivative control and the proposed constrained imperialist competitive algorithm-based adaptive fuzzy proportional-integral-derivative control is carried out to evaluate the performance of the proposed controllers. Finally, an experimental rig is developed to verify the simulation outcomes. It is found that the constrained imperialist competitive algorithm-based fuzzy controller converges faster to an optimum solution compared to the genetic algorithm method. Besides, the superiority of the proposed constrained imperialist competitive algorithm-based design over other controllers is demonstrated.

关键词： Fuzzy control imperialist competitive algorithm pneumatic actuator

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imperialist competitive algorithm-Based Optimization of Neuro-Fuzzy System Parameters for Automatic Red-eye Removal

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INTERNATIONAL JOURNAL OF FUZZY SYSTEMS 2017年第4期19卷 1144-1156页

作者： Razmjooy, Navid Ramezani, Mehdi Ghadimi, Noradin Univ Tafresh Dept Elect Engn Tafresh Iran Univ Tafresh Dept Math & Control Engn Tafresh Iran Islamic Azad Univ Ardabil Branch Young Researchers & Elite Club Ardebil Iran

There are great deals of consumer photographs which are affected by red-eye artifacts and arise frequently when shooting with flash. In this paper, a new technique is proposed to solve this problem. The proposed technique starts by detecting the skin-like regions using an optimized pixel-based neuro-fuzzy processing;morphological operations are then used to discard the extra areas after crossing the threshold. Once the skin regions are detected, five new features including geometric and color metrics are proposed to enhance the classification accuracy of the red-eye artifacts. After that, another optimized neuro-fuzzy classifier is employed to classify the red-eye regions by using the presented features. Final result is achieved by a definite syntax between skin and red-eye regions, and then, a simple correction method is used to correct the detected regions. Finally, a comparison is performed among the proposed method toward the other popular procedures and also a simple neuro-fuzzy. Final results showed the high performance of the proposed method.

关键词： Red-eye correction HSI color space Skin detection Neuro-fuzzy classification Subtractive clustering imperialist competitive algorithm Morphological operations Color and geometry features Kapur's threshold

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imperialist competitive algorithm Applied to Eddy Current Nondestructive Evaluation

Imperialist Competitive Algorithm Applied to Eddy Current No...

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15th International Workshop on Electromagnetic Nondestructive Evaluation (ENDE)

作者： Hamel, Ammar Mohellebi, Hassane Feliachi, Mouloud Univ Bejaia Dept Elect Engn Elect Engn Lab Algiers Algeria Univ Tizi Ouzou Dept Elect Engn Elect Engn Lab Tizi Ouzou Algeria Univ Nantes IUT Saint Nazaire IREENA Lab F-44035 Nantes France

ISBN: (纸本)9781607507505;9781607507499

The imperialist competitive algorithm (ICA) is a new global search strategy inspired by the socio- political process of imperialistic competition. ICA has higher performances such as faster convergence and better global minimum achievement [1]. Considering its undeniable effectiveness, its limitations and applicability in various fields, ICA is currently explored. In this paper we adopt ICA to deal with the inverse problem applied in eddy current non-destructive evaluation. We present test results and a comparison between ICA and the particle swarm optimisation algorithm (PSO).

关键词： Non destructive evaluation eddy currents inverse problem imperialist competitive algorithm

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imperialist competitive algorithm based on VNS-OBL optimization for distributed parallel machine scheduling problem

Imperialist competitive algorithm based on VNS-OBL optimizat...

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Chinese Automation Congress (CAC)

作者： Zhou, Tianli Zhang, Qingyong Wang, Xin Ren, Xiao Wuhan Univ Technol Sch Automat Wuhan 430070 Peoples R China

ISBN: (纸本)9781728140940

Aiming at the distributed parallel machine scheduling problem(DPMSP) in heterogeneous factories, a new imperialist competitive algorithm (VICA), aiming to minimize the makespan. Firstly, to build a new operator assimilation process and a new kind of revolution. Secondly, by introducing a variable neighborhood search and Opposition-Based Learning(OBL) to improve the quality of imperialist countries, and a new type of the imperialist competitive process was proposed. In the end, a large number of numerical experiments, the results show that the VICA validity and advantage of search in the solution of the problem.

关键词： imperialist competitive algorithm variable neighborhood search Opposition-Based Learning distributed parallel machine scheduling Heterogeneous factory

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imperialist competitive algorithm based optimal power flow 22

Imperialist Competitive Algorithm based optimal power flow

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22nd Iranian Conference on Electrical Engineering (ICEE)

作者： Ranjbar, Hossein Zarei, Seyed Fariborz Hosseini, Seyed Hamid Sharif Univ Technol Dept Elect Engn Tehran Iran

ISBN: (纸本)9781479944095

In this paper, a new approach based on imperialist competitive algorithm (ICA) optimization is proposed for solving the optimal power flow (OPF) problem. ICA is one of the evolutionary optimization algorithms which are based on colonialism as a social-political phenomenon. The objective of the OPF problem is to minimize the system total generation cost with regard to some inequality and equality constraints such as the units' active and reactive power output limits, generation/demand balance, power flow limit of lines, voltage on busses, and transformer taps. To validate the proposed algorithm, it is applied to the IEEE 30-buses system and results are compared with those of genetic algorithm and particle swarm optimization and the effectiveness of the proposed algorithm is justified.

关键词： imperialist competitive algorithm intelligent algorithm optimal power flow

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imperialist competitive algorithm for Multiobjective optimization of Ellipsoidal Head of Pressure Vessel

Imperialist Competitive Algorithm for Multiobjective optimiz...

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2nd International Conference on Mechanical and Aerospace Engineering (ICMAE 2011)

作者： Abdi, Behzad Mozafari, Hamid Ayob, Amran Kohandel, Roya Univ Teknol Malaysia Fac Mech Engn Johor Baharu 81310 Malaysia Univ Teknol Malaysia Fac Civil Engn Johor Baharu 81310 Malaysia

ISBN: (纸本)9783037852620

This work devoted to an ellipsoidal head of pressure vessel under internal pressure load. The analysis is aimed at finding an optimum weight of ellipsoidal head of pressure vessel due to maximum working pressure that ensures its full charge with stresses by using imperialist competitive algorithm and genetic algorithm. In head of pressure vessel the region of its joint with the cylindrical shell is loaded with shear force and bending moments. The load causes high bending stresses in the region of the joint. Therefore, imperialist competitive algorithm was used here to find the optimum shape of a head with minimum weight and maximum working pressure which the shear force and the bending moment moved toward zero. Two different size ellipsoidal head examples are selected and studied. The imperialist competitive algorithm results are compared with the genetic algorithm results.

关键词： imperialist competitive algorithm Ellipsoidal Head Optimization Multiobjective

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imperialist competitive algorithm with Fuzzy Logic for Parameter Adaptation: A Parameter Variation Study 14th

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14th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets (IWIFSGN)

作者： Bernal, Emer Castillo, Oscar Soria, Jose Tijuana Inst Technol Tijuana BC Mexico

ISBN: (纸本)9783319262116;9783319262109

This paper applies the imperialist competitive algorithm (ICA) to benchmark mathematical functions with the original method to analyze and perform a study of the variation of the results obtained with the ICA algorithm as we vary the parameters manually for 4 mathematical functions. The results demonstrate the efficiency of the algorithm to optimization problems and give us the pattern for future work in dynamically adapting these parameters.

关键词： imperialist competitive algorithm ICA Mathematical functions

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imperialist competitive algorithm for Natural Crack Shape Reconstruction from ECT Signals 11

Imperialist Competitive Algorithm for Natural Crack Shape Re...

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11th World Congress on Intelligent Control and Automation

作者： Zhang, Siquan Liu, Yu Yin, Chang Qi, Chuan Shanghai Maritime Univ Dept Elect & Automat Shanghai Peoples R China

ISBN: (纸本)9781479958252

This paper presents a method to solve the problem of natural crack shape reconstruction from eddy current testing signals by means of imperialist competitive algorithm (ICA). ICA is a new meta-heuristic optimization and stochastic search strategy which is inspired from socio-political phenomenon of imperialistic competition. In order to evaluate the efficiency on solving crack shape inversion problem, ICA is compared with some heuristic algorithms such as genetic algorithm, particles swarm optimization and ant colony optimization. The reconstructed results verified the efficiency of neural network based forward model and the promising of imperialist competitive algorithm in crack shape inversion.

关键词： Eddy current testing Artificial neural network imperialist competitive algorithm Crack shape reconstruction

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imperialist competitive algorithm using Chaos Theory for Optimization (CICA)

Imperialist Competitive Algorithm using Chaos Theory for Opt...

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12th International Conference on Computer Modelling and Simulation (UKSim)

作者： Bahrami, Helena Faez, Karim Abdechiri, Marjan Qazvin Azad Univ Dept Elec Comp & IT Qazvin Iran Amirkabir Univ Tehran Dept EE Tehran Iran

ISBN: (纸本)9780769540160

The imperialist competitive algorithm (ICA) that was recently introduced has shown its good performance in optimization problems. This novel optimization algorithm is inspired by socio-political process of imperialistic competition in the real world. In this paper a new imperialist competitive algorithm using chaotic maps (CICA) is proposed. In the proposed algorithm, the chaotic maps are used to adapt the angle of colonies movement towards imperialist's position to enhance the escaping capability from a local optima trap. The ICA is easily stuck into a local optimum when solving high-dimensional multi-model numerical optimization problems. To overcome this shortcoming, we use four different chaotic map incorporated into ICA to enhance the exploration capability. Some famous unconstraint benchmark functions are used to test the CICA performance. Simulation results show this variant can improve the performance significantly.

关键词： imperialist competitive algorithm absorption policy chaos theory

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