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Chapter and Conference Paper
Heuristics for Evolutionary Optimization for the Centered Bin Packing Problem
The Bin Packing Problem (BPP) is an optimization problem where a number of objects are placed within a finite space. This problem has a wide range of applications, from improving the efficiency of transportati...
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Chapter and Conference Paper
Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative Models
Generative Adversarial Networks (GANs) have shown great success in generating high quality images and are thus used as one of the main approaches to generate art images. However, usually the image generation p...
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Chapter and Conference Paper
Topological Insights into Sparse Neural Networks
Sparse neural networks are effective approaches to reduce the resource requirements for the deployment of deep neural networks. Recently, the concept of adaptive sparse connectivity, has emerged to allow train...
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Chapter and Conference Paper
Multi-strategy Differential Evolution
We propose the Multi-strategy Differential Evolution (MsDE) algorithm to construct and maintain a self-adaptive ensemble of search strategies while solving an optimization problem. The ensemble of strategies i...
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Chapter and Conference Paper
A Framework for Knowledge Integrated Evolutionary Algorithms
One of the main reasons for the success of Evolutionary Algorithms (EAs) is their general-purposeness, i.e. the fact that they can be applied in a straight forward manner to a broad range of optimization probl...
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Chapter and Conference Paper
Presenting the ECO: Evolutionary Computation Ontology
A well-established notion in Evolutionary Computation (EC) is the importance of the balance between exploration and exploitation. Data structures (e.g. for solution encoding), evolutionary operators, selection...
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Chapter and Conference Paper
Trend and Network Analysis of Common Eligibility Features for Cancer Trials in ClinicalTrials.gov
ClinicalTrials.gov has been archiving clinical trials since 1999, with > 165,000 trials at present. It is a valuable but relatively untapped resource for understanding trial design patterns and acquiring reusa...
