8th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2005 --30 August 2005 through 2 September 2005 -- Rome --The considerable efficacy of Genetic Algorithm (GAs) in structural optimisation motivates to emergent assertive and progressive strategies. This paper presents a new parallel genetic algorithm (PGA) scheme (AMGAwFBD/I). In this scheme, the movement in the search region is performed through an asynchronous migration having an assimilation property in two distinct parallel phases. an asynchronous migration based on feasible solutions obtained from the search, controls both infusion and diffusion processes using a control mechanism. In addition, usag...
Parallel genetic algorithms (PGAs) have been traditionally used to extend the power of serial geneti...
The parallel genetic algorithms implementation for neural networks models construction is discussed....
Parallel genetic algorithms (PGA) use two major modifications compared to the genetic algorithm. Fir...
In this paper, Hamming distance is used to control individual difference in the process of creating ...
An approach based on genetic algorithm and parallel computing has been presented and discussed for s...
In this paper we develop a study on several types of parallel genetic algorithms (PGAs). Our motivat...
In this paper we develop a study on several types of parallel genetic algorithms (PGAs). Our mo-tiva...
migration strategy; Abstract. Genetic Algorithm (GA) is a powe rful global optimization search algo ...
This thesis investigates the applicability of artificial intelligence based approach to structural o...
Performance optimisation of aerodynamic shapes plays a critical role in aeronautics and the automati...
Genetic algorithms (GAs) often require many iterations for convergence. If the cost for the analysi...
AbstractThis paper presents the recent developments in hierarchical genetic algorithms (HGAs) to spe...
The objective of this dissertation is to develop a multi-resolution optimization strategy based on t...
In this paper, a flexible yet efficient algorithm for solving engineering design optimization proble...
The parallel genetic algorithm (PGA) uses two major modifications compared to the genetic algorithm....
Parallel genetic algorithms (PGAs) have been traditionally used to extend the power of serial geneti...
The parallel genetic algorithms implementation for neural networks models construction is discussed....
Parallel genetic algorithms (PGA) use two major modifications compared to the genetic algorithm. Fir...
In this paper, Hamming distance is used to control individual difference in the process of creating ...
An approach based on genetic algorithm and parallel computing has been presented and discussed for s...
In this paper we develop a study on several types of parallel genetic algorithms (PGAs). Our motivat...
In this paper we develop a study on several types of parallel genetic algorithms (PGAs). Our mo-tiva...
migration strategy; Abstract. Genetic Algorithm (GA) is a powe rful global optimization search algo ...
This thesis investigates the applicability of artificial intelligence based approach to structural o...
Performance optimisation of aerodynamic shapes plays a critical role in aeronautics and the automati...
Genetic algorithms (GAs) often require many iterations for convergence. If the cost for the analysi...
AbstractThis paper presents the recent developments in hierarchical genetic algorithms (HGAs) to spe...
The objective of this dissertation is to develop a multi-resolution optimization strategy based on t...
In this paper, a flexible yet efficient algorithm for solving engineering design optimization proble...
The parallel genetic algorithm (PGA) uses two major modifications compared to the genetic algorithm....
Parallel genetic algorithms (PGAs) have been traditionally used to extend the power of serial geneti...
The parallel genetic algorithms implementation for neural networks models construction is discussed....
Parallel genetic algorithms (PGA) use two major modifications compared to the genetic algorithm. Fir...