1423 ISSN: 2278 – 1323 All Rights Reserved © 2015 IJARCET  Abstract—This paper presents short-term fixed and variable head hydrotherml scheduling. An integrated PSO-SQP technique is applied to obtain the optimum scheduling of power generation. PSO is used as a global search optimization technique which explores the search space. Sequential quadratic programming (SQP) is used as a local search ...

This paper presents a control system design method for an autonomous helicopter using the Particle Swarm Optimization (PSO) method. In this paper, the nonlinear dynamic model of a miniature helicopter is directly used to design a control system without linearization process. The nonlinear dynamics of model helicopter is represented by sixteen state variables including flapping dynamics, engine ...

The particle swarm optimization (PSO) method is an instance of a successful application of the philosophy of bounded rationality and decentralized decision making for solving global optimization problems. A number of advantages with respect to other evolutionary algorithms are attributed to PSO making it a prospective candidate for optimum structural design. The PSO-based algorithm is robust an...

Output noise is strongly related to input in closed-loop control system, which makes model identification of closed-loop difficult, even unidentified in practice. The forward channel model is chosen to isolate disturbance from the output noise to input, and identified by optimization the dynamic characteristics of the process based on closed-loop operation data. The characteristics parameters o...

0020-0255/$ see front matter 2012 Elsevier Inc http://dx.doi.org/10.1016/j.ins.2012.06.003 ⇑ Corresponding author. E-mail addresses: [email protected] (W.X. Xu) (X.B. Gu). This paper presents a novel robust hybrid particle swarm optimization (RHPSO) based on piecewise linear chaotic map (PWLCM) and sequential quadratic programming (SQP). The aim of the present research is to develop a new singl...

This paper investigates the ability of the Particle Swarm Optimization (PSO) method to cope with minimax problems through experiments on well{known test functions. Experimental results indicate that PSO tackles minimax problems e ectively. Moreover, PSO alleviates di culties that might be encountered by gradient{based methods, due to the nature of the minimax objective function, and potentially...

An approach for the construction of optimal analog wavelet bases is presented. First, the definition of an analog wavelet is given. Based on the definition and the least-squares error criterion, a general framework for designing optimal analog wavelet bases is established, which is one of difficult nonlinear constrained optimization problems. Then, to solve this problem, a hybrid algorithm by c...

This paper integrates Discrete Particle Swarm Optimization (DPSO) and Sequential Quadratic Programming (SQP) to propose a DPSO-SQP method for solving unit commitment problems ancillary services. Through analysis of services, including Automatic Generation Control (AGC), Real Spinning Reserve (RSR), Supplemental (SR), the cost model was developed. With requirements energy balance, operating cons...

Canals are major water conveyance systems used to deliver water to irrigation fields. Due to wide variability of local soil conditions, the stability of designed channel section may not be ensured while implementing the optimal canal sections in the real field. Hence, incorporation of slope stability condition is very helpful to provide stable irrigation channels. This paper presents Particle S...

so far various methods for optimization presented and one of most popular of them are optimization algorithms based on swarm intelligence and also one of most successful of them is particle swarm optimization (pso). prior some efforts by applying fuzzy logic for improving defects of pso such as trapping in local optimums and early convergence has been done. moreover to overcome the problem of i...