In practice, obtaining the global optimum for the economic dispatch {bf (ED)}problem with ramp rate limits and prohibited operating zones is presents difficulties. This paper presents a new andefficient method for solving the economic dispatch problem with non-smooth cost functions using aFuzzy Adaptive Genetic Algorithm (FAGA). The proposed algorithm  deals  with the issue ofcontrolling the ex...

An important assumption to maximize the performance of genetic algorithm is to study the convergence state of genetic algorithm. Genetic algorithm is a Mata-heuristic search technique; this technique is based on the Darwin theory of Natural Selection. The important property of this algorithm is that it has worked on multiple state of solution. This algorithm is work with some finite set of popu...

one of the major purposes of optimization in civil engineering is to perform a suitable design for the structure. this goal has to fulfill technical criteria and contain the minimum economical costs. building frames are of the most customary civil engineering structures. therefore, optimization of these types of structures could be of a great concern from the economical viewpoints. one of the c...

Genetic algorithms (GAs) have been applied to many difficult optimization problems such as track assignment and hypothesis managements for multisensor integration and data fusion. However, premature convergence has been a main problem for GAs. In order to prevent premature convergence, we introduce an allied strategy based on biological evolution and present a parallel Genetic Algorithm with th...

A rapid genetic algorithm based on chaos mechanism is presented in this paper. We introduced the chaos mechanism into the genetic algorithm to remedy the defect of premature convergence in the genetic algorithm, then continuously compressed the searching intervals of the optimization variable for increasing convergence speed. Experiments indicate that this method is a rapid and effective evolut...

This paper analyzes the eeect of noise on diierent selection mechanisms for genetic algorithms. Models for several selection schemes are developed that successfully predict the convergence characteristics of genetic algorithms within noisy environments. The selection schemes mod-eled in this paper include proportionate selection, tournament selection, (,) selection, and linear ranking selection...

Although Genetic algorithm (GA), Ant colony (AC) and Particle swarm optimization algorithm (PSO) have already been extended to various types of engineering problems, the effects of initial sampling beside constraints in the efficiency of algorithms, is still an interesting field. In this paper we show that, initial sampling with a special series of constraints play an important role in the conv...

Very recently evolutionary optimization algorithms use the Genetic Algorithm to improve the result of Optimization problems. Several processes of the Genetic Algorithm are based on 'Random', that is fundamental to evolutionary algorithms, but important defections in the Genetic Algorithm are local convergence and high tolerances in the results, they have happened for randomness reason. In this ...

Recently many studies have attempted to implement intelligent characters for fighting action games. They used genetic algorithms, neural networks, and evolutionary neural networks to create intelligent characters. This study quantitatively compared the performance of these three AI techniques in the same game and experimental environments, and analyzed the results of experiments. As a result, n...