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Proceedings of the 2020 Genetic and Evolutionary Computation Conference

https://doi.org/10.1145/3377930
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Quality Diversity Genetic Programming for Learning Scheduling Heuristics
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Cluster Prevention in Evolutionary Diversity Optimization for Parallel Machine Scheduling
inferred← citeshttps://doi.org/10.1145/3712256.3726404openalex-snapshot
Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains
inferred← citeshttps://doi.org/10.1145/3712256.3726408openalex-snapshot
Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems
inferred← citeshttps://doi.org/10.1145/3712256.3726410openalex-snapshot
On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence
inferred← citeshttps://doi.org/10.1145/3712256.3726412openalex-snapshot
Transformer Semantic Genetic Programming for Symbolic Regression
inferred← citeshttps://doi.org/10.1145/3712256.3726419openalex-snapshot
Seeking and leveraging alternative variable dependency concepts in gray-box-elusive bimodal land-use allocation problems
inferred← citeshttps://doi.org/10.1145/3712256.3726443openalex-snapshot
Orthogonal Genetic Algorithm for Efficient Delivery Route Planning in TSP-D
inferred← citeshttps://doi.org/10.1145/3712256.3726450openalex-snapshot
LAOS: Large Language Model-Driven Adaptive Operator Selection for Evolutionary Algorithms
inferred← citeshttps://doi.org/10.1145/3712256.3726451openalex-snapshot
Neuroevolution of Self-Attention Over Proto-Objects
inferred← citeshttps://doi.org/10.1145/3712256.3726453openalex-snapshot
Classifier Systems as Linear Probability Models
inferred← citeshttps://doi.org/10.1145/3712256.3726461openalex-snapshot
Rule-based Machine Learning: Separating Rule and Rule-Set Pareto-Optimization for Interpretable Noise-Agnostic Modeling
inferred← citeshttps://doi.org/10.1145/3712256.3726463openalex-snapshot
Multi-Objective Covariance Matrix Adaptation MAP-Annealing
inferred← citeshttps://doi.org/10.1145/3712256.3726478openalex-snapshot
RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces
inferred← citeshttps://doi.org/10.1145/3715012openalex-snapshot
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
inferred← citeshttps://doi.org/10.1145/3715718openalex-snapshot
Mystique: Automated Vulnerability Patch Porting with Semantic and Syntactic-Enhanced LLM
inferred← citeshttps://doi.org/10.1145/3716504openalex-snapshot
Multi-Objectivising Acquisition Functions in Bayesian Optimisation
inferred← citeshttps://doi.org/10.1145/3716638openalex-snapshot
Explainable Benchmarking for Iterative Optimization Heuristics
inferred← citeshttps://doi.org/10.1145/3723498.3723843openalex-snapshot
Diverse Level Generation via Machine Learning of Quality Diversity
inferred← citeshttps://doi.org/10.1145/3728634openalex-snapshot
Hybrids of Reinforcement Learning and Evolutionary Computation in Finance: A Survey
inferred← citeshttps://doi.org/10.1145/3746235openalex-snapshot
Towards Recommendation on Good Quality Data Science Solutions
inferred← citeshttps://doi.org/10.1145/3787220openalex-snapshot
Anytime Benchmarking of Forty-Five PAES-25 Configurations on Multi- and Many-Objective Variants of Leading Ones Trailing Zeros Functions
inferred← citeshttps://doi.org/10.1162/evco_a_00292openalex-snapshot
Runtime Analysis of Restricted Tournament Selection for Bimodal Optimisation
inferred← citeshttps://doi.org/10.32604/cmes.2023.030806openalex-snapshot
Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm, Transfer Learning, and Model Compression
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