|In recent years, several studies have been devoted to the design of problems with diierent degrees of deception in order to investigate the performance of GAs. This paper presents a diierent genetic approach, called the Structured Genetic Algorithm (sGA) for solving GA-deceptive problems. The Structured GA uses an hierarchical encoding and a gene expression mechanism in its overspeciied chro-m...

|In recent years, several studies have been devoted to the design of problems with diierent degrees of deception in order to investigate the performance of GAs. This paper presents a diierent genetic approach, called the Structured Genetic Algorithm (sGA) for solving GA-deceptive problems. The Structured GA uses an hierarchical encoding and a gene expression mechanism in its overspeciied chro-m...

This paper discusses a parallel genetic algorithm (PGA) which focuses on the local operator for Traveling salesman problem (TSP). The local operator is a simple GA named as Local Genetic Algorithm (LGA). The LGA is combined to another GA named as Global Genetic Algorithm (GGA). It increases the computational time running a GA as a local operator in another one. To solve this problem, we build a...

This paper proposes a novel hybrid Monte Carlo simulation-genetic approach (MCS-GA) for optimal operation of a distribution network considering renewable energy generation systems (REGSs) and battery energy storage systems (BESSs). The aim of this paper is to design an optimal charging /discharging scheduling of BESSs so that the total daily profit of distribution company (Disco) can be maximiz...

labyrinth spillway is an appropriate option to pass pmf discharge. the most advantages of this type of spillway are higher discharge capacity, easy aeration as well as low fluctuations of flow surface. it is essential to find the optimum geometry considering the maximum passing discharge under specific hydraulic conditions with minimum construction cost. in this study, fuzzy inference system (f...

Recent studies using biochemical and genetic approaches have identified a number of components, including several negative regulators, of the gibberellin (GA) signal transduction pathway in higher plants. The basal state of GA signaling is likely to be repressive, and the GA signal seems to activate the pathway by de-repression to allow GA-stimulated growth and development.

One of the issues in creating any search technique is balancing the need for diverse exploration with the desire for efficient focusing. This paper explores a genetic algorithm (GA) architecture which is more resilient to local optima than other recently introduced GA models. and which provides the ability to focus search quickly. The GA uses a fine-grain parallel architecture to simulate evolu...

This paper presents a massively parallel Genetic Algorithm – Pattern Search (GA-PS) with graphics hardware acceleration on bound constrained nonlinear optimization problems. The objective of this study is to determine the effectiveness of using Graphics Processing Units (GPU) as a hardware platform for Genetic Algorithms (GA). The global search of the GA is enhanced by a local Pattern Search (P...

Genetic Algorithms (GA) is well known for searching global maxima and minima[1, 2]. In general, number of search points required by GA for searching global extreme is much lower than the exhausted search. GA has been applied to Block Matching Algorithm (BMA) and demonstrates positively its capability in BMA. The mean square error (MSE) performance of GA based BMA is close to full search (FS). H...

Today the Genetic Algorithm (GA) is used to solve a large variety of complex nonlinear optimization problems. However, permute convergence which is one of the most important disadvantages in GA is known to increase the number of iterations for reaching a global optimum. This paper, presents a new GA based on chaotic systems to overcome this shortcoming,. We employ logistic map and tent map as t...