Multiobjective optimization problems are problems with several, typically conflicting, criteria
for evaluating solutions. Without any a priori preference information, the Pareto optimality …

There have been several proposals on how to apply the ant colony optimization (ACO)
metaheuristic to multi-objective combinatorial optimization problems (MOCOPs). This paper …

Regionalization of rainfall-runoff models is required for many catchments, where a suitable
flow record is not available to enable traditional calibration methods to be used. Most …

This paper proposes a framework named multi-objective ant colony optimization based on
decomposition (MoACO/D) to solve bi-objective traveling salesman problems (bTSPs). In the …

Increasing numbers of books, websites and articles are devoted to the concept of 'swarm
intelligence'. Meanwhile, a perhaps confusing variety of computational techniques are seen …

Scientific literature is prolific both on exact and on heuristic solution methods developed to
solve optimization problems. Although the former methods have an indisputable theoretical …

Abstract The Ant Colony Optimization (ACO) algorithm is used as a multi-objective
optimization technique to size a most popular analog circuit, the CMOS operational amplifier …

The twin-screw configuration problem (TSCP) consists of identifying the best location of a set
of available screw elements along a screw shaft. Owing to its combinatorial nature, it can be …

This paper proposes a multi-objective ant programming algorithm for mining classification
rules, MOGBAP, which focuses on optimizing sensitivity, specificity, and comprehensibility. It …

There is no doubt that the transport sector contributes significantly to the overall energy
consumption and emission of greenhouse gases. The transportation systems are …