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20182024
most citedOckham's Razor in Memetic Computing: Three Stage Optimal Memetic Exploration

134 citations · 548 across the 33 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

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.LG2018★ 134 cited

Ockham's Razor in Memetic Computing: Three Stage Optimal Memetic Exploration

G. Iacca, F. Neri, E. Mininno +2

Memetic Computing is a subject in computer science which considers complex structures as the combination of simple agents, memes, whose evolutionary interactions lead to intelligen…

cs.NE2018★ 16 cited

Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms

D. Bucur, G. Iacca, M. Gaudesi +2

In novel forms of the Social Internet of Things, any mobile user within communication range may help routing messages for another user in the network. The resulting message deliver…

cs.NE2018★ 48 cited

Memetic Viability Evolution for Constrained Optimization

A. Maesani, G. Iacca, D. Floreano

The performance of evolutionary algorithms can be heavily undermined when constraints limit the feasible areas of the search space. For instance, while Covariance Matrix Adaptation…

cs.NE2018★ 16 cited

Distributed optimization in wireless sensor networks: an island-model framework

Giovanni Iacca

Wireless Sensor Networks (WSNs) is an emerging technology in several application domains, ranging from urban surveillance to environmental and structural monitoring. Computational…

cs.AI2018★ 9 cited

Compact Optimization Algorithms with Re-sampled Inheritance

Giovanni Iacca, Fabio Caraffini

Compact optimization algorithms are a class of Estimation of Distribution Algorithms (EDAs) characterized by extremely limited memory requirements (hence they are called "compact")…

cs.NE2018★ 18 cited

Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution

Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca +2

Many real-world control and classification tasks involve a large number of features. When artificial neural networks (ANNs) are used for modeling these tasks, the network architect…