2018 Evolutionary Computation in Uncertain Environments (Competition)

Competition Outline

GECAD – Polytechnic of Porto –, in collaboration with Delft University, proposes the optimization of a centralized day-ahead energy resource management problem in smart grids under environments with uncertainty.

Competition goals

The WWCI 2018 competition on “Evolutionary Computation in Uncertain Environments: A Smart Grid Application” has the purpose of bringing together and testing the more advanced Computational Intelligence (CI) techniques applied to an energy domain problem, namely the energy resource management problem under uncertain environments. The competition provides a coherent framework where participants and practitioners of CI can test their algorithms to solve a real-world optimization problem in the energy domain with uncertainty consideration, which makes the problem more challenging and worth to explore.

Rules

-Participants will propose and implement metaheuristic algorithm (e.g., evolutionary algorithms, swarm intelligence, estimation of distribution algorithm, etc.) to solve the energy resource management problem under uncertainty.
-The organizers provide a framework, implemented in MATALAB© 2014b 64 bits (Download here), in which participants can easily test their algorithms (we also provide a differential evolution algorithm implementation as an example). The guidelines (Download here) include the necessary information to understand the problem, how the solutions are represented, and how the fitness function is evaluated. Those elements are common for all participants.
-Since the proposed algorithms might have distinct sizes of population and run for a variable number of iterations, a maximum number of “50000 function evaluations” is allowed in each trial for all participants. The convergence properties of the algorithms are not a criterion to be qualified in this competition.
-20 independent trials should be performed in the framework by each participant.

Organizers

João Soares, Polytechnic of Porto, PT, joaps@isep.ipp.pt

Fernando Lezama, Polytechnic of Porto, PT, flzcl@isep.ipp.pt

Zita Vale, Polytechnic of Porto, PT, ,zav@isep.ipp.pt