list-by-conference

CEC full papers:
Furong Ye, Carola Doerr, and Thomas Bäck. Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation. CEC’19 [Wednesday, 5:00 pm in Special Session CEC-21: Theory of Bio-Inspired Computation]

GECCO full papers:
Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bäck. Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on OneMax and LeadingOnes. GECCO’18
Naama Horesh, Thomas Bäck, Ofer M. Shir. Predict or Screen Your Expensive Assay? DoE vs. Surrogates in Experimental Combinatorial Optimization. GECCO’19
Nguyen Dang, Carola Doerr. Hyper-Parameter Tuning for the (1+(λ, λ)) GA. GECCO’19

GECCO workshop papers:
Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, and Thomas Bäck. Benchmarking Discrete Optimization Heuristics with IOHprofiler. GECCO’19
Borja Calvo, Ofer M. Shir, Josu Ceberio, Carola Doerr, Hao Wang, Thomas Bäck, and Jose A. Lozano. Bayesian Performance Analysis for Black-Box Optimization Benchmarking. GECCO’19
Ivan Ignashov, Arina Buzdalova, Maxim Buzdalov, and Carola Doerr. Illustrating the Trade-Off between Time, Quality, and Success Probability in Heuristic Search. GECCO’19
Nathan Buskulic and Carola Doerr. Maximizing Drift is Not Optimal for Solving OneMax. GECCO’19