2026 Competition on Evolutionary Computation in the Energy Domain: Fairness-aware Pricing in Energy Communities

IEEE WCCI 2026 & GECCO 2026 (Joint Competition)

June 08 – June 12 – Hangzhou, China (CEC 2025) | July 14 – July 18 – Málaga, Spain (GECCO 2025)

Organized by Polytechnic of Porto (ISEP)

Polytechnic of Porto (ISEP): Fernando Lezama, José Almeida, João Soares, Filipe Sousa, Zita Vale

Important: The use of the software platform is prohibited for purposes other than competition without a prior authorization of the organizing team.

Results Published: (TBD)


Competition Outline

Following the success of the previous editions at IEEE PES-GM, CEC, GECCO, and WCCI, we are launching another challenging edition of the competition at major conferences in the field of computational intelligence and power systems. This WCCI and GECCO 2026 competition challenges participants to develop benchmark evolutionary algorithms for optimizing energy pricing strategies in Local Energy Communities (LECs). Unlike traditional methods focused solely on cost minimization, this competition emphasizes fairness-aware pricing, where fairness metrics (e.g., Jain’s Fairness index, standard deviation of energy bills, Quality of Experience) guide the optimization process. The goal is to promote the design of metaheuristic algorithms that produce pricing strategies balancing technical efficiency and equitable cost distribution among community members.


Competition Goals

The competition has been held since 2017 at major conferences (the first competition was launched at IEEE PES GM) – Website: http://www.gecad.isep.ipp.pt/smartgridcompetitions.

We have been implementing variants of the benchmark problems, but have always used the same framework. This year, we implemented a novel framework for fairness-aware pricing optimization in energy communities (a relatively recent problem in the energy domain), using an evaluation criterion that includes the fitness value and the number of function evaluations (e.g., convergence).


Rules

  • Participants will propose and implement metaheuristic algorithms (e.g., evolutionary algorithms, swarm intelligence, estimation of distribution algorithm, etc.) to solve the proposed track problem in the energy domain.
  • The organizers provide a framework (Download), implemented in MATALAB© 2021a 64 bits, in which participants can easily test their algorithms (we also provide a hybrid-adaptive differential evolution algorithm implementation as an example). The guidelines (Download) include the necessary information to understand the problem, how the solutions are represented, and how the fitness function is evaluated. Also, we provide information on mathematical formulation regarding the objective function value and problem constraints. Those elements are common for all participants.
  • A maximum number of “function evaluations” is considered for all algorithms. However, this year, the algorithms’ convergence properties, measured as the number of “functions evaluations”, are part of the evaluation criteria in the competition. Thus, participants should strive to obtain the lowest number of “function evaluations” as well.
  • In addition, 20 independent trials should be performed in the framework by each participant.

How to Submit an Entry

– The winner will be the participant with the minimum ranking index in the proposed track, which is calculated as the average and standard deviation values of the objective function value over the 20 trials.

– Each participant is kindly requested to put the text files corresponding to final results (see guidelines document), as well as the implementation files (codes), obtained by using a specific optimizer, into a zipped folder named GECCO_WCCI_2026_AlgorithmName_ParticipantName.zip
(e.g. GECCO_WCCI_2026_DE_JoseAlmeida.zip).


How to Submit an Entry

  • Notice that submission of papers or assistance to CEC and GECCO by competition participants is not mandatory.
  • You can submit a paper to the WCCI-2026 Special Session on User-Centric Algorithms and Fair Applications using AI and Evolutionary Computation (Submit it here) – select Special Session: Computational Intelligence for Control and Optimization of Complex Energy Systems.
  • You are also welcome to submit short descriptions of your algorithms and results as 2-page papers to be included in the GECCO Companion. This is voluntary: the submission deadline is TBD. Submit it here (Competition Entry Submissions)

Organizers


Logos 2021