This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
We propose a new Genetic Algorithm (GA) for solving the minimum span frequency assignment problem (MSFAP). The MSFAP is minimizing the range of the frequencies assigned to each tr...
In this paper we face the Job Shop Scheduling Problem with Sequence Dependent Setup Times by means of a genetic algorithm hybridized with local search. We have built on a previous...
In this paper, we present a comparative study of different stochastic components of genetic algorithms for simulationbased optimisation of the buffer allocation problem. We explor...
In this paper, Simulated Evolution based goodness attributes are incorporated into Tabu Search and Genetic Algorithms to enhance performance as compared to canonical strategies. I...
Sadiq M. Sait, Mohammed Faheemuddin, Mustafa I. Al...