ECiP @ GECCO 2026: Program complete – three international speakers from industrial practice

Published

July 3, 2026

ECiP @ GECCO 2026: Program complete – three international speakers from industrial practice

GECCO 2026 logo

GECCO 2026 in San Antonio de Belén, Costa Rica

2026-07-03

The program of the Evolutionary Computation in Practice (ECiP) track at this year’s Genetic and Evolutionary Computation Conference (GECCO 2026) is complete: three speakers from Spain, Japan, and France will show how evolutionary optimization is applied in industrial practice. Prof. Dr. Thomas Bartz-Beielstein (IDE+A, TH Köln) organizes the track together with Daniel Hernández (Tecnológico Nacional de México / IT Tijuana, Mexico) and Francisco Fernandez de Vega (Universidad de Extremadura, Spain).

GECCO, presented by the ACM Special Interest Group on Genetic and Evolutionary Computation (SIGEVO), is among the top-ranked international conferences in the field (CORE Rank A). It takes place from 13 to 17 July 2026 in San Antonio de Belén near Alajuela, Costa Rica; the ECiP session closes the conference day on Thursday, 16 July 2026, 17:00–18:00.

Portrait of Nicolás Álvarez Gil

Nicolás Álvarez Gil, ArcelorMittal Global R&D (Spain)

Portrait of Ryoki Hamano

Ryoki Hamano, CyberAgent AI Lab (Japan)

Portrait of Alberto Tonda

Alberto Tonda, INRAE / Université Paris-Saclay (France)

Nicolás Álvarez Gil, Senior Researcher in the Mathematical Optimization team at ArcelorMittal Global R&D (Spain), speaks on “Applying Evolutionary Computation to Real-World Steel Problems: Challenges Beyond Theory”. His talk follows the full lifecycle of optimization projects in the steel industry: from handling complex, dynamic constraints and conflicting objectives to integrating robust solutions into user-friendly decision-support tools.

Ryoki Hamano, Research Scientist at CyberAgent AI Lab (Japan), presents “Evolutionary Computation in an Industrial AI Lab: Applications, Research, and Open Tools”, showing how evolutionary optimization is practiced in an industrial AI lab: from a real-world combinatorial optimization problem in game-balance tuning, through research on CMA-ES, to open-source tools such as the cmaes Python library.

Alberto Tonda, Senior Researcher (Directeur de Recherche) at INRAE and Université Paris-Saclay (France), shows in “Evolutionary Computation for Food and Biomass Transformation Processes” how evolutionary techniques help characterize and control the transformation of food and biomass: industrial processes whose co-occurring physical, chemical, and biological phenomena push traditional modeling approaches to their limits.

Since 2002, ECiP has connected academic research with industrial practice and is a fixture of the GECCO program. Talk details with abstracts and biographies are available on the ECiP website, and conference information on the official GECCO 2026 website. The first announcement of the track can be found in the news item of 18 June 2026.