🏠홈📊트렌드🏆논문👤마이
CS-Pedia
TrendsBest Papers
Best Papers/GECCO

GECCO Best Papers

Genetic and Evolutionary Computation Conference

12 papers · 2024–2026

← GECCO Conference Info

🏆 2026(10)

Best Paper Award
Parent Selection Mechanisms in Elitist Crossover-Based Algorithms
Andre Opris; Denis Antipov
Best Paper Award
Evolution With Purpose: Hierarchy-Informed Optimization of Whole-Brain Models
Hormoz Shahrzad; Niharika Gajawelli; Kaitlin Maile; Manish Saggar; Risto Miikkulainen
Best Paper Award
Evolving Multi-Channel Confidence-Aware Activation Functions for Missing Data with Channel Propagation
Naeem Shahabi Sani; Ferial Najiantabriz; Shayan Shafaei; Dean Hougen
Best Paper Award
A Learning-Based Cooperative Coevolution Framework for Heterogeneous Large-Scale Global Optimization
Wenjie Qiu; Zixin Wang; Hongyu Fang; Zeyuan Ma; Yue-Jiao Gong
Best Paper Award
Introns and Templates Matter: Rethinking Linkage in GP-GOMEA
Johannes Koch; Tanja Alderliesten; Peter Bosman
Best Paper Award
Multi-objective Local Optima Networks based on Decomposition
Gabriela Ochoa; Quentin Renau; Arnaud Liefooghe; Jonathan Fieldsend
Best Paper Award
Distributional Value Estimation Without Target Networks for Robust Quality-Diversity
Behrad Koohy; Jamie Bayne
Best Paper Award
A Heterogeneous Ant Colony Framework with Semantic Manifold Learning for Dynamic Ore-Flow Blending
Hao Tang; Changhe Li; Guoyu Chen; Shoufei Han; Michalis Mavrovouniotis; Miqing Li
Best Paper Award
In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
Sam Earle; Kai Arulkumaran; Akarsh Kumar; Andrew Dai; Julian Togelius; Sebastian Risi
Best Paper Award
Exploration of Pareto-preserving Search Space Transformations in Multi-objective Test Functions
Diederick Vermetten; Jeroen Rook

🏆 2025(1)

Best Paper Award
When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks?
Nisioti, Plantec, Llera Montero, Winther Pedersen & Risi
NeuroevolutionTransfer Learning

🏆 2024(1)

Best Paper Award
Quality with Just Enough Diversity in Evolutionary Policy Search
Templier, Grillotti, Rachelson, Wilson & Cully
Quality DiversityEvolutionary Policy

CS-Pedia — 한국 CS 연구자를 위한 학회 통합 플랫폼

데이터 출처: DBLP (CC0), OpenAlex (CC0), Semantic Scholar, aideadlin.es (MIT), 한국연구재단, 한국정보과학회, jeffhuang.com

제출 전 데드라인·학회 일정은 공식 웹사이트에서 반드시 확인하세요.

소개·개인정보 처리방침·이용약관·문의