Feature subset selection is an important problem in knowledge discovery, not only for the
insight gained from determining relevant modeling variables but also for the improved …

One of the key problems in database marketing is the identification and profiling of
households that are most likely to be interested in a particular product or service. Principal …

Metaheuristics are widely used to solve important practical combinatorial optimization
problems. Many new multicast applications emerging from the Internet-such as TV over the …

This thesis presents the development of a new multi-objective optimisation tool and applies
it to a number of industrial problems related to optimising energy systems. Multi-objective …

Feature subset selection is important not only for the insight gained from determining
relevant modeling variables but also for the improved understandability, scalability, and …

Feature subset selection is an important problem in knowledge discovery, not only for the
insight gained from determining relevant modeling variables, but also for the improved …

Abstract Design problems in engineering typically involve a large solution space and
several potentially conflicting criteria. Selecting a compromise solution is often supported by …

This study presents a multi-objective approach for selecting an optimal network of public
transport (PT) priority lanes. Bus priority schemes and techniques on urban roads and …

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This paper describes a decision support system (DSS) for use in operational decision
making with PHM-specific data. Challenges arise from the large amount of different …