This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
This paper introduces a metric that measures symmetry in tree graphs, which allows for a statistical characterization of GP solutions by their architectural "shapes." A ...
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
Garbage collection can be a performance bottleneck in large distributed, multi-threaded applications. Applications may produce millions of objects during their lifetimes and may i...
We present two novel perturbation-based linkage learning algorithms that extend LINC [5]; a version of LINC optimised for decomposition tasks (oLINC) and a hierarchical version of...
In this paper, we introduce a new crossover operator for the permutation representation of a GA. This new operator-Non-Wrapping Order Crossover (NWOX)--is a variation of the well-...
This paper presents a novel approach to solve the constrained unit commitment problem using Selective Self-Adaptive Ant System (SSAS) for improving search performance by automatic...
The properties of symmetric fitness functions are investigated. We show that a well-known encoding scheme inducing symmetric functions has the non-synonymous property and the sear...