Conference Information

GECCO 2027: Genetic and Evolutionary Computation Conference

Submission Date:
2027-01-18 Due in 64 days
Notification Date:
2027-03-19
Conference Date:
2027-07-12
Location:
Krakow, Poland
Years:
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CCF: C   ICORE: A   QUALIS: A1   Viewed: 806755   Tracked: 76   Attend: 17
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Conference Partner Index (CP-I)

88.0 / 100
Ranked #105 of 5,777 conferences · Top 2%

#14 of 755 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
100
Submission selectivity (20%)
61
Editions held (20%)
97
Community attention (10%)
64
Public record completeness (15%)
100

Inputs used: Listed as CCF C, ICORE A, QUALIS A1 · Acceptance rate: 44.6% (mean of 5 editions on file) · Editions on record: 36 · Researchers following it here: 76 · Researchers who opened this page in the past 24 months: 18

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-11-14

Researchers at these institutions track this conference

Anhui University 3
Huazhong University of Science and Technology 3
Wuhan University 3

Based on the institution researchers enter on their own profiles. We do not verify it.

Call For Papers

GECCO 2027 (Genetic and Evolutionary Computation Conference) is a CCF C / ICORE A / QUALIS A1 conference held in Krakow, Poland on 2027-07-12. The paper submission deadline is 2027-01-18. Acceptance notifications are sent on 2027-03-19.

The Genetic and Evolutionary Computation Conference (GECCO 2027) will be held in Krakow, Poland, from July 12 to July 16, 2027, and will present the latest high-quality results in genetic and evolutionary computation, in person only. Topics include genetic algorithms, genetic programming, ant colony optimization and swarm intelligence, complex systems, evolutionary combinatorial optimization and metaheuristics, evolutionary machine learning, evolutionary multiobjective optimization, evolutionary numerical optimization, neuroevolution, real-world applications, theory, hybrids, and more. The full list of tracks is available online. The GECCO 2027 Program Committee invites the submission of technical papers describing your best work in genetic and evolutionary computation. Full papers of at most 8 pages (excluding references) should present original work that meets the high-quality standards of GECCO. Accepted full papers appear in the ACM Digital Library as part of the Main Proceedings of GECCO. Any content/appendix beyond the 8 pages limit (excluding references) should be submitted as supplementary material. We additionally invite short papers of at most 4 pages to be presented in poster format (poster-only papers) at the conference. Short papers are expected to present preliminary, work-in-progress results. Short papers will be published in the ACM Digital Library as part of the Companion Proceedings of GECCO. For full papers, a separate abstract needs to be submitted first by January 18, 2027. All papers are due by the non-extensible deadline of January 25, 2027. Each paper (both full and poster-only) submitted to GECCO will be rigorously evaluated in a double-blind review process. Evaluation is done on a per-track basis, ensuring high interest and high expertise of the reviewers. Review criteria include the significance of the work, technical soundness, novelty, clarity, writing quality, relevance and, if applicable, sufficiency of information to permit replication.
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Acceptance Ratio

Average acceptance rate: 45.7% over 8 years (2003–2010).

YearSubmittedAcceptedAccepted(%)
201037316945.3%
200953122041.4%
200845119944.1%
200757726646.1%
200644620546%
200554925346.1%
200446023050%
200341719346.3%

Best Papers

YearBest Papers
2023Multi-Objective Multi-Gene Genetic Programming for the Prediction of Leakage in Water Distribution Networks
2023Grammar-guided Linear Genetic Programming for Dynamic Job Shop Scheduling
2023First Improvement Hill Climber with Linkage Learning -- on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic Algorithms
2023Using Affine Combinations of BBOB Problems for Performance Assessment
2023Calculating lexicase selection probabilities is NP-Hard
2023Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness
2023Covariance Matrix Adaptation MAP-Annealing
2023New Knowledge about the Elementary Landscape Decomposition for Solving the Quadratic Assignment Problem
2023MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy
2023Learning by Viewing: Generating Test Inputs for Games by Integrating Human Gameplay Traces in Neuroevolution
2020Golden parameter search: exploiting structure to quickly configure parameters in parallel
2020Fast mutation in crossover-based algorithms
2020Diversity preservation in minimal criterion coevolution through resource limitation
2020Effective reinforcement learning through evolutionary surrogate-assisted prescription
2020Neuroevolution of self-interpretable agents
2020Another difficulty of inverted triangular pareto fronts for decomposition-based multi-objective algorithms
2020Understanding transforms of pseudo-boolean functions
2020Genetic programming approaches to learning fair classifiers
2020Optimisation of large wave farms using a multi-strategy evolutionary framework
2010Black-box search by unbiased variation
2010The maximum hypervolume set yields near-optimal approximation
2010Multiplicative drift analysis
2010The benefit of migration in parallel evolutionary algorithms
2010NK landscapes, problem difficulty, and hybrid evolutionary algorithms
2010Speeding up the evaluation of evolutionary learning systems using GPGPUs
2010The application of michigan-style learning classifiersystems to address genetic heterogeneity and epistasisin association studies
2010The impact of design choices of multiobjective antcolony optimization algorithms on performance: an experimental study on the biobjective TSP
2010Evolving the placement and density of neurons in the hyperneat substrate
2010Exponential natural evolution strategies
2010A hierarchical cooperative evolutionary algorithm
2010Integrating decision space diversity into hypervolume-based multiobjective search
2010Optimization of the holder image descriptor using a genetic algorithm
2010The estimation of holderian regularity using genetic programming
2010The anticipated mean shift and cluster registration in mixture-based EDAs for multi-objective optimization
2010Active covariance matrix adaptation for the (1+1)-CMA-ES
2010Resource abundance promotes the evolution of public goods cooperation
2009A genetic programming approach to automated software repair
2009The sensitivity of HyperNEAT to different geometric representations of a problem
2009Multiplicative approximations and the hypervolume indicator
2009How novelty search escapes the deceptive trap of learning to learn
2009Software project planning for robustness and completion time in the presence of uncertainty using multi objective search based software engineering
2009Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control
2009Modeling evolutionary fitness for DNA motif discovery
2009Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change
2009Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs
2009Tunneling between optima: partition crossover for the traveling salesman problem
2009New entropy model for extraction of structural information from XCS population
2009EDA-RL: estimation of distribution algorithms for reinforcement learning problems
2009Approximating the search distribution to the selection distribution in EDAs
2009Fixed-parameter evolutionary algorithms and the vertex cover problem
2009Parallel shared memory strategies for ant-based optimization algorithms
2009Optimizing low-discrepancy sequences with an evolutionary algorithm
2008Generative encoding for multiagent learning
2008Crossover can provably be useful in evolutionary computation
2008Context-dependent predictions and cognitive arm control with XCSF
2008Structure and parameter estimation for cell systems biology models
2008Parsimony pressure made easy
2008Genetic algorithms for mentor-assisted evaluation function optimization
2008From mating pool distributions to model overfitting
2008Theoretical analysis of diversity mechanisms for global exploration
2008A new memetic strategy for the numerical treatment of multi-objective optimization problems
2008Evolutionary swarm design of architectural idea models
2008Searching for liveness property violations in concurrent systems with ACO
2008Aiming for a theoretically tractable CSA variant by means of empirical investigations
2008An empirical comparison of evolution and coevolution for designing artificial neural network game players
2008Precision, local search and unimodal functions
2007On the runtime analysis of the 1-ANT ACO algorithm
2007The multi-objective next release problem
2007Acquiring evolvability through adaptive representations
2007Evolving robust GP solutions for hedge fund stock selection in emerging markets
2007Towards billion-bit optimization via a parallel estimation of distribution algorithm
2007Evolutionary algorithms and matroid optimization problems
2007Controlling overfitting with multi-objective support vector machines
2007Reducing the space-time complexity of the CMA-ES
2007Convergence of stochastic search algorithms to gap-free pareto front approximations
2007Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
2007Objective fitness correlation
2007Learning noise
2007The effect of learning on life history evolution
2007Discrimination of metabolic flux profiles using a hybrid evolutionary algorithm
2006Comparing evolutionary and temporal difference methods in a reinforcement learning domain
2006Search-based determination of refactorings for improving the class structure of object-oriented systems
2006On the effect of populations in evolutionary multi-objective optimization
2006Classifier prediction based on tile coding
2006Genetic programming for human oral bioavailability of drugs
2006Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
2006A method for parameter calibration and relevance estimation in evolutionary algorithms
2006A new hybrid evolutionary algorithm for the huge k-cardinality tree problem
2006On the local performance of simulated annealing and the (1+1) evolutionary algorithm
2006Applicability issues of the real-valued negative selection algorithms
2006The effects of interaction frequency on the optimization performance of cooperative coevolution
2006An ant-based algorithm for finding degree-constrained minimum spanning tree
2006Alternative evolutionary algorithms for evolving programs: evolution strategies and steady state GP
2006Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry
2005Stress testing real-time systems with genetic algorithms
2005On the complexity of hierarchical problem solving
2005Finding needles in haystacks is harder with neutrality
2005Minimum spanning trees made easier via multi-objective optimization
2005Not all linear functions are equally difficult for the compact genetic algorithm
2005Understanding cooperative co-evolutionary dynamics via simple fitness landscapes
2005Evolutionary algorithms for the self-organized evolution of networks
2005Modeling systems with internal state using evolino
2005Constructing good learners using evolved pattern generators
2005A GA for maximum likelihood phylogenetic inference using neighbour-joining as a genotype to phenotype mapping
2005Discriminating and visualizing anomalies using negative selection and self-organizing maps
2004Hybridizing Evolutionary Testing with the Chaining Approach
2004On the Choice of the Population Size
2004Mating Scheme for Controlling the Diversity-Convergence Balance for Multiobjective Optimization
2004Vulnerability Analysis of Immunity-Based Intrusion Detection Systems Using Evolutionary Hackers
2004Similarities Between Co-evolution and Learning Classifier Systems and Their Applications
2004High Classification Accuracy Does Not Imply Effective Genetic Search
2004An Interactive Artificial Ant Approach to Non-photorealistic Rendering
2004An Enhanced Genetic Algorithm for DNA Sequencing by Hybridization with Positive and Negative Errors
2004Evolving Quantum Circuits and Programs Through Genetic Programming
2004Evolved Motor Primitives and Sequences in a Hierarchical Recurrent Neural Network
2004Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics
2003Active Guidance for a Finless Rocket Using Neuroevolution
2003A Game-Theoretic Memory Mechanism for Coevolution
2003Emergence of Collective Behavior in Evolving Populations of Flying Agents
2003Visualizing Tree Structures in Genetic Programming
2003Tournament Selection: Stable Fitness Pressure in XCS
2003Selection in the Presence of Noise
2003Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation
2003Modeling the Search Landscape of Metaheuristic Software Clustering Algorithms
2003The Steady State Behavior of (u/uI, lambda)-ES on Ellipsoidal Fitness Models Disturbed by Noise
2003Co-evolving Task-Dependent Visual Morphologies in Predator-Prey Experiments
2003On the Optimization of Monotone Polynomials by the (1+1) EA and Randomized Local Search
2003Efficiency and Reliability of DNA-Based Memories
2003Hardware Evolution of Analog Speed Controllers for a DC Motor
2002Efficient Reinforcement Learning Through Evolving Neural Network Topologies
2002Improving Evolutionary Testing By Flag Removal
2002An Analysis Of The Role Of Offspring Population Size In EAs
2002Gaphyl: An Evolutionary Algorithms Approach For The Study Of Natural Evolution
2002Is The Perfect The Enemy Of The Good?
2002Lens System Design And Re-engineering With Evolutionary Algorithms
2002Intelligent Packets For Dynamic Network Routing Using Distributed Genetic Algorithm
2002Evolutionary Computation As A Form Of Organization
2002Creation Of A Learning, Flying Robot By Means Of Evolution
2002Evolving Neural Networks For The Classification Of Galaxies
2002A Savings Based Ant System For The Vehicle Routing Problem
2002A DNA-based Three-state Device

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