GECCO 2027 — 29th Genetic and Evolutionary Computation Conference

GECCO 2027, the 29th Genetic and Evolutionary Computation Conference, runs 12-16 July 2027 in Krakow, Poland, sponsored by the Association for Computing Machinery's Special Interest Group on Genetic and Evolutionary Computation (SIGEVO). GECCO has presented results in genetic and evolutionary computation since 1999 and is organised into parallel tracks covering genetic algorithms, genetic programming, ant colony optimisation and swarm intelligence, complex systems, evolutionary combinatorial optimisation and metaheuristics, evolutionary machine learning, evolutionary multiobjective optimisation, evolutionary numerical optimisation, neuroevolution, theory and hybrids, benchmarking, and real-world applications. The 2027 edition is listed as in person only. As of September 2026 the organisers have published the dates, host city, format and track structure; the call for papers and registration rates for this edition have not yet been released.

Date

July 12–16, 2027

Location

Krakow, Poland

Format

In-Person

Event Type

Conference

Status

Upcoming

Pricing

Paid

Organizer

ACM SIGEVO (Special Interest Group on Genetic and Evolutionary Computation)

Added

Sep 9, 2026

Updated

Sep 9, 2026

• ✓Heads of AI and ML research
• ✓Optimisation and operations research leads
• ✓Supply chain and scheduling engineers
• ✓AutoML and model architecture teams
• ✓R&D directors
• ✓Academic researchers and PhD students

Most enterprise AI budgets are aimed at language models, while the problems that move margin — crew and production scheduling, vehicle routing, network and portfolio design, parameter tuning of physical processes — remain combinatorial optimisation problems that evolutionary methods still solve best. GECCO is where those methods are benchmarked and argued, with real-world application and benchmarking tracks that report against shared problems. An R&D or optimisation lead leaves with concrete algorithm choices, published baselines and a read on where neuroevolution and evolutionary AutoML are usable, plus five days of access to the researchers producing them.

• ✓Genetic algorithms and genetic programming tracks
• ✓Evolutionary machine learning track
• ✓Neuroevolution track
• ✓Ant colony optimisation and swarm intelligence track
• ✓Evolutionary combinatorial optimisation and metaheuristics track
• ✓Evolutionary multiobjective and numerical optimisation tracks
• ✓Real-world applications, theory, hybrids and benchmarking tracks

• ★The main ACM-sponsored venue for evolutionary computation, running since 1999 under SIGEVO
• ★Covers the optimisation methods enterprises actually run against scheduling, routing and design problems, which gradient-based deep learning does not address
• ★Dedicated Evolutionary Machine Learning and Neuroevolution tracks sit alongside classical search, so architecture search and model tuning are argued next to their theory
• ★Explicit Real-World Applications and Benchmarking tracks, so results are reported against shared problem sets rather than bespoke baselines
• ★Announced as in person only for 2027, so the corridor track and workshops are the format rather than a hybrid afterthought

No registration rates are published for GECCO 2027 as of 9 September 2026 — the site carries only dates, host city, format and track list, and the call for papers has not been issued. For scale, the prior edition's call required at least one author of an accepted paper to register by 11 May 2026.

When is GECCO 2027?

GECCO 2027 takes place July 12–16, 2027 in Krakow, Poland.

Where is GECCO 2027 held?

GECCO 2027 is held in Krakow, Poland. The event format is in-person.

How much does GECCO 2027 cost?

GECCO 2027 is paid. No registration rates are published for GECCO 2027 as of 9 September 2026 — the site carries only dates, host city, format and track list, and the call for papers has not been issued. For scale, the prior edition's call required at least one author of an accepted paper to register by 11 May 2026.

Who should attend GECCO 2027?

GECCO 2027 is aimed at Heads of AI and ML research, Optimisation and operations research leads, Supply chain and scheduling engineers, AutoML and model architecture teams, R&D directors, Academic researchers and PhD students.

What topics does GECCO 2027 cover?

GECCO 2027 covers Evolutionary machine learning, Neuroevolution, Genetic algorithms, Genetic programming, Swarm intelligence and ant colony optimisation, Evolutionary combinatorial optimisation and metaheuristics, Multiobjective optimisation, Search-based software engineering, Benchmarking and theory.

This page was written from 3 sources, 1 on domains other than gecco-2027.sigevo.org.

1. 1.gecco-2027.sigevo.org — HomePagevendor
2. 2.gecco-2027.sigevo.org — Call for Papersvendor
3. 3.callforpaper.org — call for papers gecco 2027