15 citations · 15 across the 2 of their papers we have counts for
6 papers
The Factory Must Grow: Automation in Factorio
Kenneth N. Reid, Iliya Miralavy, Stephen Kelly +2
Efficient optimization of resources is paramount to success in many problems faced today. In the field of operational research the efficient scheduling of employees; packing of van…
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Zhichao Lu, Kalyanmoy Deb, Erik Goodman +2
In this paper, we propose an efficient NAS algorithm for generating task-specific models that are competitive under multiple competing objectives. It comprises of two surrogates, o…
Evolution of Cooperative Hunting in Artificial Multi-layered Societies
Honglin Bao, Wolfgang Banzhaf
The complexity of cooperative behavior is a crucial issue in multiagent-based social simulation. In this paper, an agent-based model is proposed to study the evolution of cooperati…
Neural Architecture Transfer
Zhichao Lu, Gautam Sreekumar, Erik Goodman +3
Neural architecture search (NAS) has emerged as a promising avenue for automatically designing task-specific neural networks. Existing NAS approaches require one complete search fo…
It is Time for New Perspectives on How to Fight Bloat in GP
Francisco Fernández de Vega, Gustavo Olague, Francisco Chávez +3
The present and future of evolutionary algorithms depends on the proper use of modern parallel and distributed computing infrastructures. Although still sequential approaches domin…
Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification
Zhichao Lu, Ian Whalen, Yashesh Dhebar +4
Early advancements in convolutional neural networks (CNNs) architectures are primarily driven by human expertise and by elaborate design processes. Recently, neural architecture se…