output
20002026
most citedWard's Hierarchical Clustering Method: Clustering Criterion and Agglomerative Algorithm

4k citations

Showing cs.NEShow all

9 papers · 1 filter

cs.NE2021★ 15 cited

Emergence of Structural Bias in Differential Evolution

Bas van Stein, Fabio Caraffini, Anna V. Kononova

Heuristic optimisation algorithms are in high demand due to the overwhelming amount of complex optimisation problems that need to be solved. The complexity of these problems is wel…

cs.NE2021★ 12 cited

Multiple regression techniques for modeling dates of first performances of Shakespeare-era plays

Pablo Moscato, Hugh Craig, Gabriel Egan +4

The date of the first performance of a play of Shakespeare's time must usually be guessed with reference to multiple indirect external sources, or to some aspect of the content or…

cs.NE2020★ 9 cited

Learnability and Robustness of Shallow Neural Networks Learned With a Performance-Driven BP and a Variant PSO For Edge Decision-Making

Hongmei He, Mengyuan Chen, Gang Xu +2

In many cases, the computing resources are limited without the benefit from GPU, especially in the edge devices of IoT enabled systems. It may not be easy to implement complex AI m…

cs.NE2020★ 37 cited

Differential evolution outside the box

Anna V. Kononova, Fabio Caraffini, Thomas Bäck

This paper investigates how often the popular configurations of Differential Evolution generate solutions outside the feasible domain. Following previous publications in the field,…

cs.NE2019★ 52 cited

A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation

Shouyong Jiang, Marcus Kaiser, Shengxiang Yang +2

Dynamic multiobjective optimisation has gained increasing attention in recent years. Test problems are of great importance in order to facilitate the development of advanced algori…

cs.NE2019★ 104 cited

Infeasibility and structural bias in Differential Evolution

Fabio Caraffini, Anna V. Kononova, David Corne

This paper thoroughly investigates a range of popular DE configurations to identify components responsible for the emergence of structural bias - recently identified tendency of th…

cs.NE2018★ 69 cited

Multi-Strategy Coevolving Aging Particle Optimization

Giovanni Iacca, Fabio Caraffini, Ferrante Neri

We propose Multi-Strategy Coevolving Aging Particles (MS-CAP), a novel population-based algorithm for black-box optimization. In a memetic fashion, MS-CAP combines two components w…

cs.NE2018★ 188 cited

Human Activity Recognition using Recurrent Neural Networks

Deepika Singh, Erinc Merdivan, Ismini Psychoula +4

Human activity recognition using smart home sensors is one of the bases of ubiquitous computing in smart environments and a topic undergoing intense research in the field of ambien…

cs.NE2014★ 93 cited

Structural bias in population-based algorithms

Anna V. Kononova, David W. Corne, Philippe De Wilde +2

Challenging optimisation problems are abundant in all areas of science. Since the 1950s, scientists have developed ever-diversifying families of black box optimisation algorithms d…