We present a new representation for a genetic algorithm to evolve molecular structures representing possible drugs that bind to a given protein target receptor. Our representation...
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
In this paper, a new symmetry-based genetic clustering algorithm is proposed which automatically evolves the number of clusters as well as the proper partitioning from a data set. ...
We present a parallel algorithm for performing multipoint linkage analysis of genetic marker data on large family pedigrees. The algorithm effectively distributes both the computa...
Gavin C. Conant, Steve Plimpton, William Old, Andr...
Planning is an artificial intelligence problem with a wide range of real-world applications. Genetic algorithms, neural networks, and simulated annealing are heuristic search met...
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay ...