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4th International Workshop on Hybrid Artificial Intelligence Systems

作者： Thangaraj, Radha Pant, Millie Abraham, Ajith Badr, Youakim Indian Inst Technol Roorkee Dept Paper Technol Roorkee Uttar Pradesh India INSA Lyon Natl Inst Appl Sci Lyon Villeurbanne France

ISBN: (纸本)9783642023187

Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked as one of the best search algorithm for solving global optimization problems in several case studies. This paper presents a simple and modified hybridized Differential Evolution algorithm for solving global optimization problems. The proposed algorithm is a hybrid of Differential Evolution (DE) and evolutionary programming (EP). Based on the generation of initial population, three versions are proposed. Besides using the uniform distribution (U-MDE), the Gaussian distribution (G-MDE) and Sobol sequence (S-MDE) are also used for generating the initial population. Empirical results show that the proposed versions are quite competent for solving the considered test functions.

关键词： Hybrid Algorithm Differential Evolution evolutionary programming Global Optimization

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Footstep Planning Based on Univector Field Method for Humanoid Robot

Footstep Planning Based on Univector Field Method for Humano...

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12th International FIRA RoboWorld Congress

作者： Hong, Youngdae Kim, Jong-Hwan Korea Adv Inst Sci & Technol Dept Elect Engn & Comp Sci Taejon 305701 South Korea

ISBN: (纸本)9783642039829

This paper proposes a footstep planning algorithm based on univector field method optimized by evolutionary programming for humanoid robot to arrive at a target point in a dynamic environment. The univector field method is employed to determine the moving direction of the humanoid robot at every footstep. Modifiable walking pattern generator, extending the conventional 3D-LIPM method by allowing the ZMP variation while in single support phase, is utilized to generate every joint trajectory of a robot satisfying the planned footstep. The proposed algorithm enables the humanoid robot not only to avoid either static or moving obstacles but also step over static obstacles. The performance of the proposed algorithm is demonstrated by computer simulations using a modeled small-sized humanoid robot HanSaRam (HSR)-VIII.

关键词： Footstep planning univector field method evolutionary programming humanoid robot modifiable walking pattern generator

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Comparison of Intelligent Techniques to Solve Economic Load Dispatch Problem with Line Flow Constraints

Comparison of Intelligent Techniques to Solve Economic Load ...

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IEEE International Advance Computing Conference

作者： Karthikeyan, S. Prabhakar Palanisamy, K. Varghese, L. Jacob Raglend, I. Jacob Kothari, D. P. VIT Univ Sch Elect Sci Vellore 632014 Tamil Nadu India Christian Coll Engn & Technol Oddanchatram Tamil Nadu India VIT Univ Vellore 632014 Tamil Nadu India

ISBN: (纸本)9781424429271

A comparative analysis using different intelligent techniques has been carried out for the Economic Load Dispatch (ELD) problem considering line flow constraints for the regulated power system to ensure a practical, economical and secure generation schedule. The objective of this paper is to minimize the total production cost of the thermal power generation. Economic Load Dispatch (ELD) has been applied to obtain optimal fuel cost. Optimal Power Flow has been carried out to obtain ELD solutions with minimum operating cost satisfying both unit and network constraints. In this paper, various intelligent techniques such as Genetic Algorithm (GA), evolutionary programming (EP), Particle Swarm Optimization (PSO), and Differential Evolution (DE) have been applied to obtain ELD solutions. The proposed algorithm has been tested on two sample systems viz IEEE 30 bus system and a 15 unit system. The results obtained by the various intelligent techniques are compared. The solutions obtained are quite encouraging and useful in the economic environment. The algorithm and simulation are carried out using Matlab software.

关键词： Economic Load Dispatch Genetic Algorithm evolutionary programming Particle Swarm Optimization Differential Evolution

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Biogeography Based Optimization to Solve Economic Load Dispatch Considering Valve Point Effects

Biogeography Based Optimization to Solve Economic Load Dispa...

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World Congress on Nature and Biologically Inspired Computing

作者： Roy, P. K. Ghoshal, S. P. Thakur, S. S. Dr BC Roy Engn Coll Dept Elect Engn Durgapur West Bengal India Natl Inst Technol Dept Elect Engn Durgapur West Bengal India

ISBN: (纸本)9781424450534

This paper presents Biogeography Based Optimization (BBO) technique for solving constrained economic dispatch problems in power system, Considering valve point nonlinearities of generators. In this paper, two ELD problems of different characteristics have been used to investigate the effectiveness of the proposed algorithm A comparison of simulation results reveals that the proposed algorithm is better than, or at least comparable to other well established algorithms in terms of the quality of the solution.

关键词： Biogeography Economic Load Dispatch evolutionary programming Particle Swarm Optimization Migration

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Constrained Reactive Power Control Using evolutionary Computation Technique for Static Security Enhancement

Constrained Reactive Power Control Using Evolutionary Comput...

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2nd International Conference on Computer and Electrical Engineering

作者： Abdullah, Nor Rul Hasma Musirin, Ismail Murthada, Muhammad Univ Malaysia Pahang Fac Elect & Elect Engn Kuantan Pahang Malaysia Univ Teknol MARA Fac Elect Engn Shah Alam Malaysia

ISBN: (纸本)9780769539256

This paper presents evolutionary Computing technique for solving constrained reactive power control (CRPC) problem in the attempt to enhance voltage stability under contingencies, while minimizing transmission loss and maintaining voltage level at an acceptable level. In this study, evolutionary programming (EP) was chosen as the evolutionary Computing (EC) technique for solving the CRPC;taking into consideration two separate objective functions. Static voltage stability enhancement and minimization of real power loss are implemented separately on a reliability test system. Comparative studies performed with respect to Artificial Immune System (AIS) have highlighted that EP outperformed AIS for both objective functions.

关键词： evolutionary Computing evolutionary programming Artificial Immune System Constrained Reactive Power Control Generator Outage Line Outage Static Voltage Stability Index

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Partitioning Strategy for LUT-based Applications Using Genetic Algorithms

Partitioning Strategy for LUT-based Applications Using Genet...

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7th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA-09)

作者： Mehdi, Riyadh A. K. Khali, H. Ajman Univ Sci & Technol Fac Informat Technol Ajman U Arab Emirates Ajman Univ Sci & Technol Fac univ Requriements Ajman U Arab Emirates

ISBN: (纸本)9781424438075

In system-level design using hardware-software co-design approaches, applications involved in embedded systems are usually represented as data flow diagrams (DFD) where nodes may either be implemented in software or in hardware, subject to cost-performance constraints. In our research paper, we present how genetic algorithms can be used in order to perform hardware-software partitioning of applications which graph nodes can be implemented in hardware as look-up tables (LUT). These applications are characterized by fixed communication delays and accurate cost predictions which help to reach cost-effective implementations. Results of the proposed approach applied on a 3D range measurement application are presented.

关键词： Genetic algorithms system partitioning memory modules evolutionary programming constrained optimization

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Research and New Development of Application of the Estimation of Distribution Algorithms

Research and New Development of Application of the Estimatio...

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2nd International Conference on Information and Computing Science

作者： Wang, Dandan Jiang, Yong Li, Jianliang Nanjing Univ Sci & Technol Dept Informat & Comp Sci Nanjing 210094 Peoples R China

ISBN: (纸本)9780769536347

The Estimation of Distribution Algorithms (EDAs) is a novel class of evolutionary algorithms which is motivated by the idea of building probabilistic graphical model of promising solutions to represent linkage information between variables in chromosome. Through learning of and sampling from probabilistic graphical model, new population is generated and optimization procedure is repeated until the stopping criteria are met. In this paper, the mechanism of the Estimation of Distribution Algorithms is analyzed. Currently existing EDAs are surveyed and categorized according to the probabilistic model they used.

关键词： genetic algorithm evolutionary programming estimation of distribution algorithms

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Turbulent Crazy Particle swarm Optimization Technique for Optimal Reactive Power Dispatch

Turbulent Crazy Particle swarm Optimization Technique for Op...

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World Congress on Nature and Biologically Inspired Computing

作者： Roy, P. K. Ghoshal, S. P. Thakur, S. S. Dr BC Roy Engn Coll Dept Elect Engn Durgapur W Bengal India Natl Inst Technol Dept Elect Engn Durgapur W Bengal India

ISBN: (纸本)9781424450534

In this paper, a new particle swarm optimization (PSO) algorithm namely Turbulent Crazy Particle swarm Optimization (TRPSO) is introduced to solve multi-constrained optimal reactive power dispatch in power system. Optimal reactive power dispatch problem is a multi-objective optimization problem that minimizes bus voltage deviations and transmission loss. The feasibility of the proposed algorithm is demonstrated for IEEE 30-bus system and it is compared to other well established population based optimization techniques like conventional PSO, general passive congregation PSO (GPAC), local passive congregation PSO (LPAC), coordinated aggregation (CA) and Interior point based OPF (IP-OPF). A comparison of simulation results indicates that the proposed algorithm can produce better solution than other optimization techniques.

关键词： Optimal reactive power Flow Particle Swarm Optimization evolutionary programming turbulence passive congregation

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Thermal Energy Management of a CHP Hybrid of Wind and a Grid-Parallel PEM Fuel Cell Power Plant

Thermal Energy Management of a CHP Hybrid of Wind and a Grid...

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IEEE/PES Power Systems Conference and Exposition

作者： El-Sharkh, M. Y. Rahman, A. Alam, M. S. El-Keib, A. A.

ISBN: (纸本)9781424438105

This paper focuses on the management of recovered thermal energy of a hybrid wind energy and grid-parallel PEM fuel cell power plant (FCPP) with the object of achieving optimal cost. The fluctuating nature or wind energy (WE) has a different effect on the system operational cost and constraints. Besides, FCPPs are capable of producing both electrical and thermal energy. Combining WE and FCPP in a hybrid structure for CHP system yields lower operational cost than that of individual units. An economic approach is presented which includes the operational cost, thermal recovery, power trade with the local grid, and selling of surplus thermal energy. Multiple operational strategies are developed using this approach. The strategies are then evaluated by estimating the hourly generated power, the amount of recovered thermal energy while satisfying the thermal and electrical load requirements. An evolutionary programming-based technique is used to solve for the optimal operational strategy. Results are encouraging and indicate viability of the proposed approach.

关键词： Fuel Cell PEM Fuel Cell Economical Fuel Cell Model evolutionary programming Thermal Recovery Wind Energy

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Application of evolutionary programming to security constrained economic dispatch

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2005年第5-6期27卷 343-351页

作者： Somasundaram, P Kuppusamy, K Anna Univ Dept Elect & Elect Engn Power Syst Engn Div Madras 600025 Tamil Nadu India

This paper presents an algorithm, for solving security constrained economic dispatch (SCED) problem, through the application of evolutionary programming (EP). The controllable system quantities in the base case state are optimized, to minimize some defined objective function, subject to the base case operating constraints as well as the contingency case security constraints. Two representative systems: 10-bus [10] and adapted IEEE 30-bus [20] systems are taken for investigations. The SCED results obtained using EP are compared, with those obtained using quadratic programming [Fan JY, Zhang L. Real-time economic dispatch withline flow and emission constrains using quadratic programming. IEEE Trans Power Syst 1998;13(2):320-5] and successive linear programming [Kuppusamy K. Successive liner programming methods for security-related optimization in power systems. India:PhD Thesis;1981]. The investigations reveal that, the proposed algorithm is relatively simple, reliable, efficient and suitable for on-line applications. (c) 2005 Elsevier Ltd. All rights reserved.

关键词： security constrained economic dispatch line flow constraints evolutionary programming

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