Prior Art submitted for System and method for implementing a multi objective evolutionary algorithm on a programmable logic hardware device

Genetic algorithm with artificial neural networks as its fitness function to design rectangular microstrip antenna on thick substrate

Tue, 13 May 2008 14:38:33 -0700

Title: Microwave and Optical Technology Letters
Description: This paper is one of many (search Google with 'neural network fitness function') that describes the use of neural networks to evaluate the fitness function. This paper precedes claims 4 and 14.

Neural Network Fitness Functions for a Musical IGA

Tue, 13 May 2008 14:24:40 -0700

Title: Proceedings of the International ICSC Symposium on Intelligent Industrial Automation (IIA'96) and So
ISBN: 390-64-5401-0
Description: This is one publication of many (search for 'neural network fitness function' on Google) that describes the use of a neural network for performing fitness evaluation. This publication precedes claims 4 and 14.

A High-Performance, Pipelined, FPGA-Based Genetic Algorithm Machine

Tue, 13 May 2008 14:04:22 -0700

Title: Genetic Programming and Evolvable Machines, Volume 2
ISBN:
Description: This paper is one of many (do a Google on "fpga fitness function" for more) that describes the use of a programmable hardware device (fpga) for fitness evaluation in a genetic algorithm.

Object oriented toolkit for multiobjective genetic optimisation

Tue, 13 May 2008 13:26:21 -0700

Title: Computational Intelligence and Multimedia Applications, 1999. ICCIMA apos;99. Proceedings. Third Int
ISBN:
Description: In claim 1, the inventors claim a particular decomposition of a MOEA that mirrors the generally understood structure of the algorithm. Object-oriented software systems typically use the same or very similar decompositions. The decomposition described in this paper is identical except that it groups the fitness evaluator and the dominance filter into one component (see figure 1). The random number generator is included by not illustrated. The paper also allows archiving of fitness evaluations according to user specifications.