Cooperative caching is a promising technique to avoid the increasingly formidable disk bottleneck problem in distributed storage systems; it reduces the number of disk accesses by...
Atul Adya, Miguel Castro, Barbara Liskov, Umesh Ma...
Several methods have been proposed for handling nonlinear constraints by evolutionary algorithms for numerical optimization problems; a survey paper [7] provides an overview of var...
Abstract. We introduce a class of embedded-particle models for describing the emergent computational strategies observed in cellular automata (CAs) that were evolved for performing...
Wim Hordijk, James P. Crutchfield, Melanie Mitchel...
Many optimization problems require the satisfaction of constraints in addition to their objectives. When using an evolutionary algorithm to solve such problems, these constraints c...
Abstract. In order to escape from local optima, it is standard practice to periodically restart a genetic algorithm according to some restart criteria/policy. This paper addresses ...
This paper presents a comparative study of Evolutionary Algorithms (EAs) for Constraint Satisfaction Problems (CSPs). We focus on EAs where fitness is based on penalization of cons...
A. E. Eiben, Jano I. van Hemert, Elena Marchiori, ...
In this paper we present AntNet, a novel adaptive approach to routing tables learning in packet-switched communications networks. AntNet is inspired by the stigmergy model of commu...
New network technology continues to improve both the latency and bandwidth of communication in computer clusters. The fastest high-speed networks approach or exceed the I/O bus ba...
Ken Yocum, Jeffrey S. Chase, Andrew J. Gallatin, A...