This work proposes an algorithm for data mining called Ant-Miner (Ant Colony-based Data Miner). The goal of Ant-Miner is to extract classification rules from data. The algorithm is inspired by bothâ€¦ (More)

This work proposes an algorithm for rule discovery called Ant-Miner (Ant Colony-based Data Miner). The goal of Ant-Miner is to extract classification rules from data. The algorithm is based on recentâ€¦ (More)

This work describes an algorithm for rule discovery in databases called AntMiner. The objective of the algorithm is the extraction of classification rules to be applied to unseen data as a decisionâ€¦ (More)

The growing complexity of real-world problems has motivated computer scientists to search for efficient problem-solving methods. Evolutionary computation and swarm intelligence meta-heuristics areâ€¦ (More)

Most swarm intelligence algorithms were devised for continuous optimization problems. However, they have been adapted for discrete optimization as well with applications in different domains. Thisâ€¦ (More)

This work presents a new evolutionary algorithm based on the standard harmony search strategy, called population-based harmony search (PBHS). Also, this work provides a parallelisation method for theâ€¦ (More)

The search for biologically plausible ideas, models and computational paradigms always drew the interest of computer scientists, particularly those from the natural computing area. Also, the conceptâ€¦ (More)

Evolutionary Computation (EC) is a research area of metaheuristics mainly applied to real-world optimization problems. EC is inspired by biological mechanisms such as reproduction, mutation,â€¦ (More)

This paper compares the performance of four swarm intelligence algorithms for the optimization of a hard bioinformatic problem: the protein structure prediction problem (PSP). The PSP envolved theâ€¦ (More)