This paper describes GAHWM, a new evolutionary algorithm that integrates genetic algorithm paradigm with an inverted index model to mine the content of HTML documents for effective web document retrieval. This method is superior in terms of recall and precision over various real life datasets.
This paper proposes a new solution for Traveling Salesman Problem (TSP) using genetic algorithm. A combinational crossover technique is employed in the search for optimal or near-optimal TSP solutions. It is based upon chromosomes that utilise the concept of heritable building blocks. Moreover, generation of a single offspring, rather than two, per pair of… (More)