Formula One motor racing is a rich sport that spends millions on research and development of highly optimized cars. Here we describe the use of a genetic algorithm to optimize 66 s...
In recent years, the genetic programming crossover operator has been criticized on both theoretical and empirical grounds. This paper introduces a new crossover operator for linea...
Frank D. Francone, Markus Conrads, Wolfgang Banzha...
This paper investigates the use of genetic programming in automatized synthesis of scheduling heuristics. The applied scheduling technique is priority scheduling, where the next st...
In this work, we present a genetic algorithm based thermal-aware floorplanning framework that aims at reducing hot spots and distributing temperature evenly across a chip while op...
Genetic algorithms are best suited for optimization problems involving large search spaces. The problem space encountered when optimizing the transmission parameters of an agile or...
Timothy R. Newman, Rakesh Rajbanshi, Alexander M. ...