• Publications
  • Influence
A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications
TLDR
This review considers Particle Swarm Optimization (PSO), a relatively recent addition to the field of natural computing, that has elements inspired by the social behaviour of natural swarms, and connections with evolutionary computation. Expand
  • 429
  • 17
  • PDF
A review of particle swarm optimization. Part I: background and development
TLDR
This review considers Particle Swarm Optimization (PSO), a relatively recent addition to the field of natural computing, that has elements inspired by the social behaviour of natural swarms, and connections with evolutionary computation. Expand
  • 497
  • 16
  • PDF
Principles of Built-In-Test for Run-Time-Testability in Component-Based Software Systems
TLDR
This paper examines the motivations and expectations of Built-In-Test (BIT) techniques for Run-Time-Testability (RTT) in component-based software systems. Expand
  • 32
  • 6
WIsH: who is the host? Predicting prokaryotic hosts from metagenomic phage contigs
TLDR
WIsH predicts prokaryotic hosts of phages from their genomic sequences for 3 kbp‐long contigs. Expand
  • 61
  • 5
  • PDF
Exploring discrepancies in findings obtained with the KDD Cup '99 data set
TLDR
The KDD Cup '99 data set has been widely used to evaluate intrusion detection prototypes, most based on machine learning techniques, for nearly a decade. Expand
  • 44
  • 3
Assessing the quality of use case descriptions
TLDR
This paper describes a Use Case Description Quality Checklist that acts as a check on the quality of the written description. Expand
  • 37
  • 3
  • PDF
Improving the quality of use case descriptions: empirical assessment of writing guidelines
TLDR
This paper describes empirical work to assess the utility of these two sets of simple use case description guidelines (CREWS and CP) on improving the quality of use case descriptions. Expand
  • 49
  • 1
  • PDF
Natural strategies for search
TLDR
In recent years a considerable amount of natural computing research has been undertaken to exploit the analogy between, say, searching a given problem space for an optimal solution and the natural process of foraging for food. Expand
  • 22
  • 1
Multi-objective evolution of the Pareto optimal set of neural network classifier ensembles
TLDR
Multi-objective techniques to create Pareto optimal sets of classifiers and ensembles, offering the user the choice of preferred trade-off among the classification rates of different classes. Expand
  • 8
  • 1