An application of the Genetic Algorithm (GA) is discussed. A novel scheme of Hierarchical GA was developed to solve complicated engineering problems which require optimization of a large number of parameters with high precision. High level GAs search for few parameters which are much more sensitive to the system performance. Low level GAs search in more detail and employ a greater number of parameters for further optimization. Therefore, the complexity of the search is decreased and the computing resources are used more efficiently
The minimization of operations and support resources of reusable launch vehicles is a complex task, ...
Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - al...
Genetic Algorithm (GA) is a search technique that mimics the mechanisms of natural selection. Recent...
A genetic algorithm (GA) is a search and optimization method developed by mimicking the evolutionary...
Genetic algorithms are mathematical, highly parallel, adaptive search procedures (i.e., problem solv...
Genetic Algorithms (GAs) are stochastic search techniques that mimic evolutionary processes in natur...
AbstractMany adaptive systems require optimization in real time. Whether it is a robot that must mai...
Genetic algorithms (GAs) - search procedures based on the mechanics of natural selection and genetic...
A genetic algorithm (GA) is an optimization method based on natural selection. Genetic algorithms ha...
Genetic algorithms (GA'S) are global, parallel, stochastic search methods, founded on Darwinian evol...
The objective of this dissertation is to develop a multi-resolution optimization strategy based on t...
Genetic algorithms (GA's) are global, parallel, stochastic search methods, founded on Darwinian evol...
Decision making features occur in all fields of human activities such as science and technological a...
Genetic Algorithm (GA) is a stochastic search andoptimization method imitating the metaphor of natur...
Nowadays genetic algorithm (GA) is greatly used in engineering pedagogy as adaptive technology to le...
The minimization of operations and support resources of reusable launch vehicles is a complex task, ...
Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - al...
Genetic Algorithm (GA) is a search technique that mimics the mechanisms of natural selection. Recent...
A genetic algorithm (GA) is a search and optimization method developed by mimicking the evolutionary...
Genetic algorithms are mathematical, highly parallel, adaptive search procedures (i.e., problem solv...
Genetic Algorithms (GAs) are stochastic search techniques that mimic evolutionary processes in natur...
AbstractMany adaptive systems require optimization in real time. Whether it is a robot that must mai...
Genetic algorithms (GAs) - search procedures based on the mechanics of natural selection and genetic...
A genetic algorithm (GA) is an optimization method based on natural selection. Genetic algorithms ha...
Genetic algorithms (GA'S) are global, parallel, stochastic search methods, founded on Darwinian evol...
The objective of this dissertation is to develop a multi-resolution optimization strategy based on t...
Genetic algorithms (GA's) are global, parallel, stochastic search methods, founded on Darwinian evol...
Decision making features occur in all fields of human activities such as science and technological a...
Genetic Algorithm (GA) is a stochastic search andoptimization method imitating the metaphor of natur...
Nowadays genetic algorithm (GA) is greatly used in engineering pedagogy as adaptive technology to le...
The minimization of operations and support resources of reusable launch vehicles is a complex task, ...
Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - al...
Genetic Algorithm (GA) is a search technique that mimics the mechanisms of natural selection. Recent...