Call for Special Session on SS-44 Evolutionary Algorithms For Complex Optimization in the Energy Domain in CEC 2021


28 June – 1 July, 2021, Krakow, Poland

Organized by Joao Soares (, Fernando Lezama, Zita Vale, Ruben Romero

The growing demand for energy that will come from developing countries is unavoidable. Therefore, sustainability and efficacy are important, taking into consideration the known finite resources of the earth. Energy efficiency and resource management play a substantial role in achieving the necessary sustainable development. In reality, in the planning, operation, and control of energy systems, effective energy optimization approaches are highly important.

In the energy field, many problems are complex and display characteristics such as high dimensionality, high number of constraints, lack of information, noisy and corrupted data. Such issues often present time constraints that involve solutions in near real-time. Hence, achieving good and precise solutions in a fair amount of time remains a concern for many energy problems. Also, state-of-the-art traditional solutions include alternate tweaks that sometimes do not achieve the efficiency and applicability of the algorithm required. In a wide variety of applications in the energy field, Evolutionary Computation (EC) has already shown strong success and has arisen to solve issues of conventional algorithms to find feasible solutions in real-world applications. Indeed, in the last few years, the ratio of EC applications in the field of energy has been gradually growing and its value in this field is only beginning.

Scope and Topics

This special session is a follow-up to the previous editions of the CEC. Papers on the application of the EC to real-world problems in the field of energy are welcome. Problems may be based in various areas of the energy chain (e.g. heating, cooling and power supply) and different market levels (e.g. household or industrial level). Problems of high complexity under uncertainty, dynamic objective settings, many-objectives, and large-scale search spaces are more than welcome. This special session aims to bridge the gap between energy engineers and the new EC applications for energy optimization problems. In addition, this particular session is related to the “Smart Grid Optimization Problems” competition. Participants are also welcome to send the results of their algorithms competition to our session.

Topics should concern EC applications or theory in the energy domain including, but not limited to:

  • Distributed evolutionary approaches in the energy domain
  • Electric and plug-in hybrid vehicles
  • Electricity markets
  • Energy scheduling
  • Heat and electricity joint optimization problems
  • Hydrogen economy problems
  • Multi/many-objective problems in the energy domain
  • Natural gas optimization problems
  • Optimal power flow in distribution and transmission
  • Residential, industrial and district cooling/heating problems
  • Smart grid and micro-grid problems
  • Solar and wind power integration and forecast
  • Super grids problems (continental and transcontinental transmission system)
  • Transportation & energy joint problems

Important Dates

Paper submission due: 31 January 2021
Notification of acceptance: 22 March 2021
Camera-ready deadline: 7 April 2021
Author registration deadline: 7 April 2021

How to submit a paper

Submit a paper to the special session on Evolutionary Algorithms for Complex Optimization in the Energy Domain (CEC SS-44) – Select SS-44 in the research topic.

Further related bibliography

  • [1] F. Lezama, J. Soares, P. Hernandez-Leal, M. Kaisers, T. Pinto, and Z. Vale: Local Energy Markets: Paving the Path Towards Fully Transactive Energy Systems, IEEE Transaction on Power Systems, IEEE, 2018.
  • [2] J. Soares, B. Canizes, M. A. Fotouhi Gazvhini, Z. Vale, and G. K. Venayagamoorthy, “Two-stage Stochastic Model using Benders’ Decomposition for Large-scale Energy Resources Management in Smart grids,” IEEE Transactions on Industry Applications, 2017.
  • [3] F. Lezama, J. Soares, E. Munoz de Cote, L. E. Sucar, and Z. Vale, “Differential Evolution Strategies for Large-Scale Energy Resource Management in Smart Grids,” in GECCO ’17: Genetic and Evolutionary Computation Conference Companion Proceedings, 2017.