A Melting Pot of Evolution and Learning,

Moshe Sipper; Achiya Elyasaf; Tomer Halperin; Zvi Dov Haramaty; Raz Lapid; Eyal Segal; Itai Tzruia; Snir Vitrack Tamam

doi:10.1007/978-981-99-8413-8_8

A Melting Pot of Evolution and Learning,

Moshe Sipper, Achiya Elyasaf, Tomer Halperin, Zvi Dov Haramaty, Raz Lapid, Eyal Segal, Itai Tzruia, Snir Vitrack Tamam

Ben-Gurion University of the Negev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We survey eight recent works by our group, involving the successful blending of evolutionary algorithms with machine learning and deep learning:
1. Binary and Multinomial Classification through Evolutionary Symbolic Regression,
2. Classy Ensemble: A Novel Ensemble Algorithm for Classification,
3. EC-KitY: Evolutionary Computation Tool Kit in Python,
4. Evolution of Activation Functions for Deep Learning-Based Image Classification,
5. Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution,
6. An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks,
7. Foiling Explanations in Deep Neural Networks,
8. Patch of Invisibility: Naturalistic Black-Box Adversarial Attacks on Object Detectors.

Original language	American English
Title of host publication	Genetic Programming Theory and Practice XX
Editors	Stephan Winkler, Leonardo Trujillo
Publisher	Springer Singapore
ISBN (Electronic)	9789819984138
ISBN (Print)	9789819984121, 9789819984152
DOIs	https://doi.org/10.1007/978-981-99-8413-8_8
State	Published - Feb 2024

Access to Document

10.1007/978-981-99-8413-8_8

Cite this

@inproceedings{52072d285834463fa7e1395d91257b45,

title = "A Melting Pot of Evolution and Learning,",

abstract = "We survey eight recent works by our group, involving the successful blending of evolutionary algorithms with machine learning and deep learning: 1. Binary and Multinomial Classification through Evolutionary Symbolic Regression, 2. Classy Ensemble: A Novel Ensemble Algorithm for Classification, 3. EC-KitY: Evolutionary Computation Tool Kit in Python, 4. Evolution of Activation Functions for Deep Learning-Based Image Classification, 5. Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution, 6. An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks, 7. Foiling Explanations in Deep Neural Networks, 8. Patch of Invisibility: Naturalistic Black-Box Adversarial Attacks on Object Detectors.",

author = "Moshe Sipper and Achiya Elyasaf and Tomer Halperin and Haramaty, {Zvi Dov} and Raz Lapid and Eyal Segal and Itai Tzruia and {Vitrack Tamam}, Snir",

year = "2024",

month = feb,

doi = "10.1007/978-981-99-8413-8_8",

language = "American English",

isbn = "9789819984121",

editor = "Stephan Winkler and Leonardo Trujillo",

booktitle = "Genetic Programming Theory and Practice XX",

publisher = "Springer Singapore",

address = "Singapore",

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AU - Sipper, Moshe

AU - Elyasaf, Achiya

AU - Halperin, Tomer

AU - Haramaty, Zvi Dov

AU - Lapid, Raz

AU - Segal, Eyal

AU - Tzruia, Itai

AU - Vitrack Tamam, Snir

PY - 2024/2

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N2 - We survey eight recent works by our group, involving the successful blending of evolutionary algorithms with machine learning and deep learning: 1. Binary and Multinomial Classification through Evolutionary Symbolic Regression, 2. Classy Ensemble: A Novel Ensemble Algorithm for Classification, 3. EC-KitY: Evolutionary Computation Tool Kit in Python, 4. Evolution of Activation Functions for Deep Learning-Based Image Classification, 5. Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution, 6. An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks, 7. Foiling Explanations in Deep Neural Networks, 8. Patch of Invisibility: Naturalistic Black-Box Adversarial Attacks on Object Detectors.

AB - We survey eight recent works by our group, involving the successful blending of evolutionary algorithms with machine learning and deep learning: 1. Binary and Multinomial Classification through Evolutionary Symbolic Regression, 2. Classy Ensemble: A Novel Ensemble Algorithm for Classification, 3. EC-KitY: Evolutionary Computation Tool Kit in Python, 4. Evolution of Activation Functions for Deep Learning-Based Image Classification, 5. Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution, 6. An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks, 7. Foiling Explanations in Deep Neural Networks, 8. Patch of Invisibility: Naturalistic Black-Box Adversarial Attacks on Object Detectors.

U2 - 10.1007/978-981-99-8413-8_8

DO - 10.1007/978-981-99-8413-8_8

M3 - Conference contribution

SN - 9789819984121

SN - 9789819984152

BT - Genetic Programming Theory and Practice XX

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A2 - Trujillo, Leonardo

PB - Springer Singapore

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