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Combining of chaotic differential evolution and quadratic programming for economic dispatch optimization with valve-point effect (vol 21, pg 989, 2006)

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IEEE TRANSACTIONS ON POWER systems 2006年第3期21卷 1465-1465页

作者： dos Santos Coelho, Leandro Cocco Mariani, Viviana Production and Systems Engineering Graduate Program Automation and Systems Laboratory PUCPRJCCET/PPGEPSILAS Pontifical Catholic University of Paraná 802 15-901 Curitiba Paraná Brazil Mechanical Engineering Graduate Program PUCPRJCCETIPPGEM Pontifical Catholic University of Paraná 802 15-901 Curitiba Paraná Brazil

Evolutionary algorithms are heuristic methods that have yielded promising results for solving nonlinear, nondifferentiable, and multi-modal optimization problems in the power systems area. The differential evolution (DE) algorithm is an evolutionary algorithm that uses a rather greedy and less stochastic approach to problem solving than do classical evolutionary algorithms, such as genetic algorithms, evolutionary programming, and evolution strategies. DE also incorporates an efficient way of self-adapting mutation using small populations. The potentialities of DE are its simple structure, easy use, convergence property, quality of solution, and robustness. This paper proposes a new approach for solving economic load dispatch problems with valve-point effect. The proposed method combines the DE algorithm with the generator of chaos sequences and sequential quadratic programming (SQP) technique to optimize the performance of economic dispatch problems. The DE with chaos sequences is the global optimizer, and the SQP is used to fine-tune the DE run in a sequential manner. The combined methodology and its variants are validated for two test systems consisting of 13 and 40 thermal units whose incremental fuel cost function takes into account the valve-point loading effects. The proposed combined method outperforms other state-of-the-art algorithms in solving load dispatch problems with the valve-point effect. [ABSTRACT FROM AUTHOR]

关键词： Chaotic sequences differential evolution (DE) economic dispatch evolutionary algorithms optimization power generation valve-point effect

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Fuzzy modeling using chaotic particle swarm approaches applied to a yo-yo motion system

Fuzzy modeling using chaotic particle swarm approaches appli...

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2006 IEEE International Conference on Fuzzy systems

作者： Coelho, Leandro Dos Santos Herrera, Bruno Meirelles Pontifical Catholic University of Paraná Production and Systems Eng. Graduate Program PPGEPS/CCET/PUCPR Imaculada Conceicao 1155 80215-901 Curitiba Paraná Brazil

ISBN: (纸本)0780394887

A method of nonlinear identification based on the Takagi-Sugeno (TS) fuzzy model and optimization procedure is proposed in this paper. New chaotic particle swarm optimization algorithms based on Zaslavskii chaotic map sequences combined with efficient Gustafson-Kessel (GK) clustering algorithm are proposed here for the design of the premise part of production rules, while the least mean squares technique is utilized for the subsequent part of the production rules of a TS fuzzy model. The numerical results presented here indicate that the particle swarm optimization (PSO) and particularly the chaotic PSO combined with GK algorithms are effective in building a good TS fuzzy model for nonlinear identification of a nonlinear yo-yo motion control system. © 2006 IEEE.

关键词： Fuzzy sets

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Use of cultural particle swarm optimization for Loney's Solenoids design

Use of cultural particle swarm optimization for Loney's Sole...

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12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006

作者： Coelho, Leandro Dos Santos Mariani, Viviana Cocco Pontifical Catholic University of Paraná Production and Systems Engineering Graduate Program Automation and Systems Laboratory PUCPR/PPGEPS/LAS Imaculada Conceicao 1155 80215-901 Curitiba Brazil Pontifical Catholic University of Paraná Mechanical Engineering Graduate Program PUCPR/PPGEM Imaculada Conceiçao 1155 80215-901 Curitiba Brazil

ISBN: (纸本)1424403200

This work presents the use of particle swarm optimization (PSO) techniques with the particles' population space based on normative knowledge of cultural algorithms (CA). In this work, the optimal shape design of Loney's solenoids benchmark problem is carried out by PSO, PSO-CA, Gaussian PSO and Gaussian PSO-CA approaches. ©2006 IEEE.

关键词： Solenoids

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Discrete variable structure control based on optimization by cultural differential evolution approach

Discrete variable structure control based on optimization by...

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2006 ASME International Mechanical engineering Congress and Exposition, IMECE2006

作者： Dos Santos Coelho, Leandro Mariani, Viviana Cocco Pontifical Catholic University of Parana Production and Systems Engineering Graduate Program PPGEPS / CCET/ PUCPR Imaculada Conceicao 1155 80215-901 Curitiba Parana Brazil Pontifical Catholic University of Parana Mechanical Engineering Graduate Program PPGEM / CCET/ PUCPR Imaculada Conceicao 1155 80215-901 Curitiba Parana Brazil

ISBN: (纸本)0791837904

Advanced conceptions to design industrial control systems are, in general, dependent of mathematical models of the controlled process. Also, the task of the controllers is to achieve an optimum performance when facing with various types of disturbances that are, sometimes, unknown in practical applications. An advanced methodology for control design is the variable structure control (VSC) with sliding mode. This paper considers the non-linear control of industrial processes based on self-tuning discrete VSC technique. A novel and systematic VSC design methodology is proposed, which integrates an estimator based on recursive least square algorithm, a discrete quasi-sliding surface and a optimization method. Contrary to the trial and error selection of the variable structure feedback gains reported in the literature, the selection in present work is done using differential evolution (DE) optimization, an evolutionary computation technique, with a new operator based on normative knowledge of cultural algorithms. The proposed design has been applied to a control valve described by a non-linear Wiener model. Numerical simulation results reveal that the new DE approach is applicable and promising for the VSC design. Copyright © 2006 by ASME.

关键词： Optimal control systems

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Mechanical design using quantum-behaved particle swarm optimizer with exponential mutation operator

Mechanical design using quantum-behaved particle swarm optim...

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2006 ASME International Mechanical engineering Congress and Exposition, IMECE2006

作者： Dos Santos Coelho, Leandro Marian, Viviana Cocco Production and Systems Engineering Graduate Program PPGEPS / CCET / PUCPR Pontifical Catholic University of Parana Imaculada Conceicao 1155 80215-901 Curitiba Parana Brazil Mechanical Engineering Graduate Program PPGEM / CCET/ PUCPR Pontifical Catholic University of Parana Imaculada Conceicao 1155 80215-901 Curitiba Parana Brazil

ISBN: (纸本)0791837904

Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm that shares many similarities with evolutionary computation techniques. However, the PSO is driven by the simulation of a social psychological metaphor motivated by collective behaviours of bird and other social organisms instead of the survival of the fittest individual. Inspired by the classical PSO method and quantum mechanics theories, this work presents new Quantum-behaved PSO (QPSO) approaches using mutation operator with exponential probability distribution. The simulation results demonstrate good performance of the QPSO in solving a well-studied continuous optimization problem of mechanical engineering design. Copyright © 2006 by ASME.

关键词： Quantum theory

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A multivariable coupling design for variable structure control using particle swarm optimization

A multivariable coupling design for variable structure contr...

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2006 ASME International Mechanical engineering Congress and Exposition, IMECE2006

作者： Dos Santos Coelho, Leandro Mariani, Viviana Cocco Pontifical Catholic University of Parana Production and Systems Engineering Graduate Program PPGEPS / CCET / PUCPR Imaculada Conceicao 1155 80215-901 Curitiba Parana Brazil Pontifical Catholic University of Parana Mechanical Engineering Graduate Program PPGEM / CCET/ PUCPR Imaculada Conceicao 1155 80215-901 Curitiba Parana Brazil

ISBN: (纸本)0791837904

This paper presents a new discrete-time sliding-mode control design for multiple-input multi-output (MIMO) systems with tuning parameters by particle swarm optimization (PSO). PSO is a kind of evolutionary algorithm based on a population of individuals and motivated by the simulation of social behavior instead of the survival of the fittest individual. Several control algorithms are presented, two decoupling design and six new approaches of the coupling design of sliding-mode control without the necessity of calculate the process interactor matrix. SMC needs a design tool for parameter configuration and efficient practically to deal with multivariable processes. Simulations are carried out using both decoupling and coupling discrete-time SMC designs. Results shown that the new proposed approach for designing the discrete-time coupling SMC is a powerful tool and it performs better than the decoupling design, usually utilized in MIMO process. The simulations are assessed on a robotic manipulator of two degree-of-freedom (2-DOF), that constitute a MIMO nonlinear coupling dynamic system, with treatment of payload mass and link length variations. Simulation results show that the application of this control strategy effectively improve the trajectory tracking precision of position and velocity variables. Copyright © 2006 by ASME.

关键词： Sliding mode control

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Maintenance integration in a control-monitoring architecture based on Petri net with objects. Application to a flexible manufacturing system

Maintenance integration in a control-monitoring architecture...

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2006 IEEE Conference on Emerging Technologies and Factory Automation, ETFA

作者： Loures, E. Rocha Busetti De Paula, M.A. Pascal, J.-C. Graduate Program in Production System Engineering PUCPR Curitiba Brazil Laboratory for Analysis and Architecture of Systems LAAS/CNRS Toulouse France

ISBN: (纸本)1424406811

The problem of failure occurrence in flexible manufacturing systems (FMS) tends to increase according to their complexity leading to time-consuming tasks as the localisation and repairing. The occurrence of failures during the exploitation stage can deeply modify the FMS performances or its availability. We want to investigate the maintenance integration into a control-monitoring framework, from the control system's early design stage to the maintenance policies execution, so as to improve production time and minimize unplanned costly breakdowns of FMS. This paper proposes a modular and hierarchic control-monitoring-maintenance architecture (CMM) for FMS based on Petri nets with objects (PNO). These efforts acts as a basis for the control architecture of a robot-driven flexible cell, connected to the Ethernet-TCP/IP. © 2006 IEEE.

关键词： Flexible manufacturing systems

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Non-linear predictive controllers for thermal comfort optimization and energy saving

Non-linear predictive controllers for thermal comfort optimi...

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作者： Freire, Roberto Z. Oliveira, Gustavo H. C. Mendes, Nathan Industrial and Systems Engineering Graduate Program PPGEPS Pontifical Catholic University of Paraná Curitiba/PR - 80215-901 Brazil Thermal Systems Laboratory LST Pontifical Catholic University of Paraná Curitiba/PR - 80215-901 Brazil

ISBN: (纸本)9783902661197

The present work is focused on the study of indoor thermal comfort control problem in buildings equipped with heating systems. The occupants' thermal comfort sensation is addressed here by a comfort index known as PMV (Predict Mean Vote). In this context, two control algorithms are proposed by using only-one-actuator system associated to the heating system. The methods are based on the model predictive control scheme and on the improvement of the PMV index together with energy minimization. Simulation results - obtained by using the weather data file for the city of Curitiba, Brazil - for two case studies: i ) variations between low and moderate occupants metabolic rates and ii) variations between moderate and high occupants metabolic rates are presented to validate the proposed methodology in terms of room air temperature, relative humidity and PMV control. Copyright © 2006 IFAC.

关键词： Thermal comfort

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Chaotic differential evolution applied to electromagnetics optimization

Chaotic differential evolution applied to electromagnetics o...

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12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006

作者： Dos Santos Coelho, Leandro Mariani, Viviana Cocco Production and Systems Engineering Graduate Program Automation and Systems Laboratory Pontifical Catholic University of Paraná Imaculada Conceicao 1155 80215-901 Curitiba Brazil Pontifical Catholic University of Paraná Mechanical Engineering Graduate Program PUCPR/PPGEM Imaculada Conceicao 1155 80215-901 Curitiba Brazil

ISBN: (纸本)1424403200

This work presents a new global optimization algorithm based on differential evolution (DE) method and DE combined with chaotic sequences (DEC) given by logistic map. In this paper, the optimal shape design of Loney's solenoids benchmark problem is carried out by DE and DEC algorithms. The results of DE and DEC approaches are also investigated and their performance compared with those reported in the literature. © 2006 IEEE.

关键词： Chaos theory

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An Efficient Particle Swarm Optimization Approach Based on Cultural Algorithm Applied to Mechanical Design

An Efficient Particle Swarm Optimization Approach Based on C...

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Congress on Evolutionary Computation

作者： L. dos Santos Coelho V.C. Mariani Production and Systems Engineering Graduate Program Automation and Systems Laboratory PPGEPS/CCET/PUCPR Pontifical Catholic University of Paraná Curitiba Parana Brazil Mechanical Engineering Graduate Program Pontifical Catholic University of Paraná Curitiba Parana Brazil

Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm driven by the simulation of a social psychological metaphor instead of the survival of the fittest individual. Based on the swarm intelligence theory, this paper discusses the use of PSO approaches using an operator and based on the Gaussian probability distribution function as a population space of a cultural algorithm, called cultural Gaussian PSO (GPSO-CA). Cultural algorithms are mechanisms that incorporate domain knowledge obtained during the evolutionary process, which increase the efficiency of the search process. These approaches are employed in a well-studied continuous optimization problem of mechanical engineering design.

关键词： Particle swarm optimization Cultural differences Algorithm design and analysis Probability distribution Design optimization Equations Design engineering Mechanical engineering Random number generation Psychology

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