Application-Specific Tone Mapping Via Genetic Programming

Optimization via Parameter Mapping with Genetic Programming

This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized. By using genetic programming, the new method evolves functions that transform initial random values for the parameters into optimal ones. This new representation allows the incorporation of knowledge about the problem being solved to improve the search. Moreover, t...

automatic verification of authentication protocols using genetic programming

implicit and unobserved errors and vulnerabilities issues usually arise in cryptographic protocols and especially in authentication protocols. this may enable an attacker to make serious damages to the desired system, such as having the access to or changing secret documents, interfering in bank transactions, having access to users’ accounts, or may be having the control all over the syste...

Clique Detection via Genetic Programming

Thomas Haynes CS 7863 Topics in Combinatorial Optimization Department of Mathematical & Computer Sciences The University of Tulsa e{mail: [email protected] December 28, 1996 Abstract Genetic Programming is utilized as a technique for detecting cliques in a network. Candidate cliques are represented in lists, and the lists are manipulated such that larger cliques are formed from the ca...

Probabilistic Adaptive Mapping Developmental Genetic Programming

An Adaptive Mapping for Developmental Genetic Programming

In this article we introduce a general framework for constructing an adaptive genotype-to-phenotype mapping, and apply it to developmental genetic programming. In this preliminary investigation, we run a series of comparative experiments on a simple test problem. Our results show that the adaptive algorithm is able to outperform its non-adaptive counterpart.