The Late-Breaking Abstracts Workshop offers authors the opportunity to present 2-page abstracts at the Genetic and Evolutionary Computation Conference (GECCO) describing late-breaking developments in the field of genetic and evolutionary computation. LBAs will be included in the conference proceedings companion, available to all attendees of the conference and in the ACM Digital Library. For more information see the Call for Late-Breaking Abstracts
Title | Authors |
---|---|
EDA with Hamming Distance for Consumption-Loan Planning in Experimental Economics | Yukiko Orito (Hiroshima University) and Tomoko Kashima (Kindai Unviersity) |
Predictive Model for Epistasis-based Basis Evaluation on Pseudo-Boolean Function Using Deep Neural Networks | Yong-Hoon Kim, Junghwan Lee, and Yong-Hyuk Kim (Kwangwoon Univ.) |
Identifying Variable Interaction Using Mutual Information of Multiple Local Optima | Yapei Wu, Xingguang Peng, and Demin Xu (Northwestern Polytechnical University) |
A New Hybrid Ant Colony Algorithms for The Traveling Thief Problem | Wiem Zouari, Ines Alaya, and Moncef Tagina (National School of Computer Science) |
Parallel GPQUICK | W. Langdon (UCL) |
Selective Pressure in Constrained Differential Evolution | Vladimir Vadimovich Stanovov, Shakhnaz Agasuvar kyzy Akhmedova, and Eugene Stanislavovich Semenkin (Reshetnev Siberian State University of Science and Technology) |
Genetic Algorithm-based Feature Selection for Depression Scale Prediction | SeungJu Lee, Hyunji Moon, Dajung Kim, and Yourim Yoon (Gachon University) |
Multidimensional Time Series Feature Engineering by Hybrid Evolutionary Approach | Piotr Lipinski (Computational Intelligence Research Group, Institute of Computer Science, University of Wroclaw) and Krzysztof Michalak (Department of Information Technologies, Institute of Business Informatics, Wroclaw University of Economics) |
Beyond Coreset Discovery: Evolutionary Archetypes | Pietro Barbiero and Giovanni Squillero (Politecnico di Torino) and Alberto Tonda (INRA, Université Paris-Saclay) |
Probabilistic Grammar-based Deep Neuroevolution | Pak-Kan Wong (The Chinese University of Hong Kong), Man-Leung Wong (Lingnan University), and Kwong-Sak Leung (The Chinese University of Hong Kong) |
Hybrid Estimation of Distribution Algorithm for solving a Resource Level Allocation Problem in a Legal Business | Mayowa Ayodele (University of Manchester, DWF); K.Nadia Papamichail (University of Manchester); and Darren Buckley and Geraldine Gallagher (DWF) |
Application of Estimation of Distribution Algorithm for Feature Selection | Mayowa Ayodele (University of Manchester, DWF) |
A Honeybee Mating Optimization Algorithm For Solving The Static Bike Rebalancing Problem | Mariem Sebai, Ezzeddine Fatnassi, and Lilia Rejeb (Institut supérieur de gestion de Tunis, Université de Tunis) |
Integrating Agent Actions with Genetic Action Sequence Method | Man-Je Kim, Jun Suk Kim, and Donghyeon Lee (Gwangju Institute of Science and Technology); Sungjin James Kim and Min-jung Kim (LG Electronics); and Chang Wook Ahn (Gwangju Institute of Science and Technology) |
Towards Solving Neural Networks with Optimization Trajectory Search | Lia Tamaziyevna Parsenadze, Danilo Vasconcellos Vargas, and Toshiyuki Fujita (Kyushu University) |
Determination of microscopic residual stresses using diffraction methods, EBSD maps, and evolutionary algorithms | J. Ignacio Hidalgo (Complutense University of Madrid), Ricardo Fernández Fernández (CSIC), Oscar Garnica (Universidad Complutense de Madrid), J. Manuel Colmenar (Universidad Rey Juan Carlos), Juan Lanchrares (Universidad Complutense de Madrid), and Gaspar Gónzalez-Docel (CSIC) |
Skill Emergence and Transfer in Multi-Agent Environments | Ingmar Kanitscheider, Bowen Baker, Todor Markov, and Igor Mordatch (OpenAI) |
Stabilize Training Generative Adversarial Networks by Genetic Algorithms | Hwi-Yeon Cho and Yong-Hyuk Kim (Kwangwoon University) |
Bi-objective optimal planning for emergency resource allocation in the maritime oil spill accident response phase under uncertainty | Guohai Zhu, Kewei Yang, Qingsong Zhao, and Zhiwei Yang (National University of Defense Technology) |
Predictability on Performance of Surrogate-assisted Evolutionary Algorithm According to Problem Dimension | Dong Pil Yu and yong hyuk kim (Kwangwoon Univ.) |
Trajectory Optimization for Car Races using Genetic Algorithms | Dana Vrajitoru (Indiana University) |
CE+EPSO: a Merged Approach to Solve SCOPF Problem | Carolina Gil Marcelino (UFRJ, PESC/COPPE); Leonel Magalhães Carvalho (INESC TEC); Vladimiro Miranda (INESC TEC, University of Porto); Armando da Silva (PUC-RIO); Carlos Eduardo Pedreira (UFRJ); and Elizabeth Fialho Wanner (Aston University) |
OINNIONN - Outward Inward Neural Network and Inward Outward Neural Network Evolution | Aviv Segev, Rituparna Datta, and Ryan Benton (University of South Alabama) and Dorothy Curtis (Massachusetts Institute of Technology) |
Genetic Algorithms are Very Good Solved Sudoku Generators | Amit Benbassat (Sapir Academic College) |
Transfer of Evolutionary Computation Techniques to Synthetic Biology: Tests in Silico | Alexander V. Spirov (Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences, Institute of Scientific Information for Social Sciences RAS) and Myasnikova Ekaterina (Peter the Great St.Petersburg Polytechnic University, Saint Petersburg) |
On the automatic planning of healthy and balanced menus | Alejandro Marrero, Eduardo Segredo, and Coromoto Leon (Universidad de La Laguna) |
Modelling and Solving the Combined Inventory Routing Problem with Risk Consideration | Ahmed Kheiri and Konstantinos Zografos (Lancaster University) |
A Two-Phase Genetic Algorithm for Incorporating Environmental Considerations with Production, Inventory and Routing Decisions in Supply Chain Networks | Adel Aazami and Ali Papi (Iran University of Science and Technology), Nader Azad (University of Ontario Institute of Technology), and Armin Jabbarzadeh (École de technologie supérieure) |