Zobrazeno 1 - 10
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pro vyhledávání: '"Formato, Richard"'
Autor:
Formato, Richard A.
Pi Fractions are used to create deterministic uniformly distributed pseudorandom decision space sample points for a global search and optimization algorithm. These fractions appear to be uniformly distributed on [0,1] and can be used in any stochasti
Externí odkaz:
http://arxiv.org/abs/1401.3038
Autor:
Formato, Richard A.
A dipole-loaded monopole antenna is optimized for uniform hemispherical coverage using VSO, a new global search design and optimization algorithm. The antenna's performance is compared to genetic algorithm and hill-climber optimized loaded monopoles,
Externí odkaz:
http://arxiv.org/abs/1307.0220
Autor:
Formato, Richard A.
Dynamic Threshold Optimization (DTO) adaptively "compresses" the decision space (DS) in a global search and optimization problem by bounding the objective function from below. This approach is different from "shrinking" DS by reducing bounds on the d
Externí odkaz:
http://arxiv.org/abs/1206.0414
Autor:
Formato, Richard A.
This note applies Variable Zo technology to the design of an Ultra Wideband (UWB) Yagi-Uda array optimized using Central Force Optimization. Variable Zo is a novel and proprietary approach to antenna design and optimization that treats the feed syste
Externí odkaz:
http://arxiv.org/abs/1108.0901
Autor:
Formato, Richard A.
This paper describes "Variable Zo," a novel and proprietary approach to antenna design and optimization. The new methodology is illustrated by applying it to the design of a resistively-loaded bowtie antenna and to two broadband Yagi-Uda arrays. Vari
Externí odkaz:
http://arxiv.org/abs/1107.1437
Autor:
Formato, Richard A.
A typical antenna optimization design problem is presented, and various issues involved in the design process are discussed. Defining a suitable objective function is a central question, as is the type of optimization algorithm that should be used, s
Externí odkaz:
http://arxiv.org/abs/1103.5629
Autor:
Formato, Richard A.
Central Force Optimization is a global search and optimization algorithm that searches a decision space by flying "probes" whose trajectories are deterministically computed using two equations of motion. Because it is possible for a probe to fly outs
Externí odkaz:
http://arxiv.org/abs/1005.5490
Autor:
Formato, Richard A.
This note describes a parameter-free implementation of Central Force Optimization for deterministic multidimensional search and optimization. The user supplies only one input: the objective function to be maximized, nothing more. The CFO equations of
Externí odkaz:
http://arxiv.org/abs/1003.1039
Autor:
Formato, Richard A.
Central Force Optimization (CFO) is a new nature-inspired deterministic multi-dimensional search and optimization metaheuristic based on the metaphor of gravitational kinematics. CFO is applied to the PBM antenna benchmark suite and the results compa
Externí odkaz:
http://arxiv.org/abs/1003.0221
Autor:
Formato, Richard A.
This note compares the performance of two multidimensional search and optimization algorithms: Group Search Optimizer and Central Force Optimization. GSO is a new state-of-the-art algorithm that has gained some notoriety, consequently providing an ex
Externí odkaz:
http://arxiv.org/abs/1002.2798