{"id":1597,"date":"2025-12-04T11:03:04","date_gmt":"2025-12-04T11:03:04","guid":{"rendered":"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/?page_id=1597"},"modified":"2026-07-24T15:33:51","modified_gmt":"2026-07-24T15:33:51","slug":"2026-3","status":"publish","type":"page","link":"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/2026-3\/","title":{"rendered":"2026 Competition on Evolutionary Computation in the Energy Domain: Fairness-aware Pricing in Energy Communities"},"content":{"rendered":"
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IEEE WCCI 2026<\/a> & GECCO 2026<\/a> (Joint Competition)<\/p>\n\n\n\n

June 21 \u2013 June 26 \u2013 Maastricht, Netherlands (IEEE WCCI 2026) | July 13 \u2013 July 17 \u2013 San Jos\u00e9, Costa Rica (GECCO 2026)<\/p>\n\n\n\n

Organized<\/strong> by Polytechnic of Porto (ISEP)<\/p>\n\n\n\n

Polytechnic of Porto (ISEP): <\/strong>Fernando Lezama, Jos\u00e9 Almeida, Jo\u00e3o Soares, Filipe Sousa, Zita Vale<\/p>\n\n\n\n

<\/p>\n\n\n\n

Important: The use of the software platform is prohibited for purposes other than competition without a prior authorization of the organizing team.<\/strong><\/p>\n\n\n\n

Results Published: <\/strong>(TBD)<\/p>\n\n\n\n

<\/p>\n\n\n\n

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Final Rank Results<\/h2>\n\n\n\n
Final<\/strong> Rank<\/strong><\/td>Name<\/strong><\/td>Affiliation, Country<\/strong><\/td>Algorithm<\/strong><\/td>Avg. Fitness<\/strong><\/td>Avg. FEs<\/strong><\/td>Rank Index<\/strong><\/td><\/tr>
1
IEEE CIS <\/strong>
Prize \u2013 500 $<\/strong><\/td>		Jingao Liu, Chixin Xiao<\/td>Xiangtan University, China<\/td>SAGE_HPDE<\/td>0.1605
(0.0046)<\/td>		2800
(0.5100)<\/td>		0.5146<\/td><\/tr>
2
IEEE CIS <\/strong>
Prize \u2013 300 $<\/strong><\/td>		Kang Li, Jiaming Hu, Chixin Xiao<\/td>Xiangtan University, China<\/td>L-SHADE-OBL<\/td>0.1631
(0.0227)<\/td>		2797
(0.5094)<\/td>		0.5321<\/td><\/tr>
3<\/strong>
IEEE CIS <\/strong>
Prize \u2013 200 $<\/strong><\/td>		YuXiang Fu, JinGao Liu<\/td>Xiangtan University, China<\/td>AL_SHADE<\/td>0.1646
(0.0335)<\/td>		2800
(0.5100)<\/td>		0.5436<\/td><\/tr>
4<\/td>Jun Hu, Chixin Xiao<\/td>Xiangtan University, China<\/td>LSHADE_DimRed<\/td>0.1983
(0.2692)<\/td>		1800
(0.2873)<\/td>		0.5565<\/td><\/tr>
5<\/td>Jiahe Liu, Jiaming Hu, Chixin Xiao<\/td>Xiangtan University, China<\/td>MyLSHADE<\/td>0.1754
(0.1088)<\/td>		2600
(0.4655)<\/td>		0.5743<\/td><\/tr>
6<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.1949
(0.2457)<\/td>		2210
(0.3786)<\/td>		0.6243<\/td><\/tr>
7<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.2124
(0.3678)<\/td>		1710
(0.2673)<\/td>		0.6350<\/td><\/tr>
8<\/td>
Jakub K\u016fdela<\/td>		Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.2047
(0.3137)<\/td>		2010
(0.3341)<\/td>		0.6478<\/td><\/tr>
9<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.2185
(0.4102)<\/td>		1610
(0.2450)<\/td>		0.6552<\/td><\/tr>
10<\/td>(a) Miguel Bethencourt Mayedo, (b) Yoan Mart\u00ednez L\u00f3pez, (a) Julio Madera Quintana, (c) Ansel Y. Rodr\u00edguez Gonz\u00e1lez<\/td>(a) Universidad de Camag\u00fcey, Cuba; (b) Universidad de C\u00f3rdoba, Spain; (c) CICESE-UT3, Mexico<\/td>ARISE_jSO_Phase5<\/td>0.1921
(0.2261)<\/td>		2500
(0.4432)<\/td>		0.6693<\/td><\/tr>
11<\/td>Garc\u00eda Uzca Cristopher Fernando, Chillogalli Astudillo Jos\u00e9 Eduardo, Cando Naula Diego Jonnathan, Morquecho Salto Edgar Gonzalo, Torres Contreras Santiago Patricio, Astudillo Salinas Darwin Fabi\u00e1n<\/td>Department of Electrical Engineering, Electronics and Telecommunications (DEET), University of Cuenca, Ecuador<\/td>RDEx-SOP-NLPR<\/td>0.1638
(0.0279)<\/td>		3500
0.6659<\/td>		0.6938<\/td><\/tr>
12<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.1926
(0.2296)<\/td>		2610
(0.4677)<\/td>		0.6973<\/td><\/tr>
13<\/td>(a) Miguel Bethencourt Mayedo, (b) Yoan Mart\u00ednez L\u00f3pez, (a) Julio Madera Quintana, (c) Ansel Y. Rodr\u00edguez Gonz\u00e1lez<\/td>(a) Universidad de Camag\u00fcey, Cuba; (b) Universidad de C\u00f3rdoba, Spain; (c) CICESE-UT3, Mexico<\/td>ARISE_jSO<\/td>0.2148
(0.3844)<\/td>		2000
(0.3318)<\/td>		0.7162<\/td><\/tr>
14<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.2313
(0.5001)<\/td>		1510
(0.2227)<\/td>		0.7229<\/td><\/tr>
15<\/td>Diego Jonnathan Cando Naula, Edgar Gonzalo Morquecho Salto, Jos\u00e9 Eduardo Chillogalli Astudillo, Cristopher Fernando Garc\u00eda Uzca, Santiago Patricio Torres Contreras, Darwin Fabi\u00e1n Astudillo<\/td>Department of Electrical Engineering, Electronics and Telecommunications (DEET), University of Cuenca, Ecuador<\/td>J-AHJ-LSHADE-RSP<\/td>0.1816
(0.1523)<\/td>		3400
(0.6437)<\/td>		0.7960<\/td><\/tr>
16<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.2482
(0.6181)<\/td>		1310
(0.1782)<\/td>		0.7963<\/td><\/tr>
17<\/td>Jesse Palarus<\/td>TU Berlin, Germany<\/td>NL-SHADE-RSP_PWI<\/td>0.1856
(0.1805)<\/td>		3275.5
(0.6159)<\/td>		0.7964<\/td><\/tr>
18<\/td>Kai-Chen Tsai, Yu-An Lu<\/td>National Taiwan Normal University, Taiwan<\/td>Improved_LSHADE<\/td>0.1658
(0.0417)<\/td>		4000
(0.7773)<\/td>		0.8190<\/td><\/tr>
19<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.2569
(0.6786)<\/td>		1210
(0.1559)<\/td>		0.8345<\/td><\/tr>
20<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0,1912
0,2197<\/td>		3310
(0.6236)<\/td>		0.8433<\/td><\/tr>
21<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.1785
(0.1310)<\/td>		3810
(0.7350)<\/td>		0.8660<\/td><\/tr>
22<\/td>(a) Raghav Thind, (a) Youran Sun, (b) Ling Liang, (a) Haizhao Yang<\/td>(a) University of Maryland, USA; (b) University of Tennessee, USA<\/td>LSHADE_LPSR_Frugal<\/td>0.1743
(0.1014)<\/td>		3996
(0.7764)<\/td>		0.8778<\/td><\/tr>
23<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.1875
(0.1933)<\/td>		3610
(0.6904)<\/td>		0.8837<\/td><\/tr>
24<\/td>(a) (b) Ansel Y. Rodr\u00edguez Gonz\u00e1lez, (a) Marco Antonio P\u00e9rez Doimeadios, (c) Yoan Mart\u00ednez L\u00f3pez, (a) Lino Alberto Rodriguez Coayahuitl, (a) Jos\u00e9 Agust\u00edn Almaraz Dami\u00e1n, (d) Julio Madera<\/td>(a) CICESE, Mexico; (b) SECIHTI, Mexico; (c) Universidad de C\u00f3rdoba, Spain; (d) Universidad de Camag\u00fcey, Cuba<\/td>RCEDPADA2500<\/td>0.2260
(0.4631)<\/td>		2500
(0.4432)<\/td>		0.9063<\/td><\/tr>
25<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.2844
(0.8713)<\/td>		710
(0.0445)<\/td>		0.9159<\/td><\/tr>
26<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.2890
(0.9031)<\/td>		610
(0.0223)<\/td>		0.9254<\/td><\/tr>
27<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0,2844
(0,8713)<\/td>		810
(0,0668)<\/td>		0,9381<\/td><\/tr>
28<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.1784
(0.1302)<\/td>		4210
(0.8241)<\/td>		0.9543<\/td><\/tr>
29<\/td>Chi-Yuan Ding, Wei-Yeh Ho, Yi-Hsuan Chao<\/td>Department of Computer Science and Information Engineering, National Taiwan Normal University, Taiwan<\/td>SA_LSHADE<\/td>0.1598
(0.0000)<\/td>		4800
(0.9555)<\/td>		0.9555<\/td><\/tr>
30<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.2844
(0.8713)<\/td>		910
(0.0891)<\/td>		0.9604<\/td><\/tr>
31<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.3028
(1.0000)<\/td>		510
(0.0000)<\/td>		1.0000<\/td><\/tr>
32<\/td>Jakub K\u016fdela<\/td>Brno University of Technology, Czech Republic<\/td>EA4Eig<\/td>0.1710
(0.0782)<\/td>		4710
(0.9354)<\/td>		1.0136<\/td><\/tr>
33<\/td>(a) Raghav Thind, (a) Youran Sun, (b) Ling Liang, (a) Haizhao Yang<\/td>(a) University of Maryland, USA; (b) University of Tennessee, USA<\/td>LSHADE_LPSR<\/td>0.1668
(0.0489)<\/td>		4997
(0.9993)<\/td>		1.0482<\/td><\/tr>
34<\/td>Hainan Zhang, Haoxiang Qin, Shixuan Zhou, Kaichen Chen, and Yi Xiang<\/td>South China University of Technology, China<\/td>Improved Memetic Algorithm (IMA)<\/td>0.1683
(0.0597)<\/td>		5000
(1.0000)<\/td>		1.0597<\/td><\/tr>
35<\/td>Tze-Hsiang, Tang<\/td>Schneider Electric Taiwan Co., Ltd., Taiwan<\/td>L-SHADE with jSO enhancements<\/td>0.1715
(0.0818)<\/td>		5000
(1.0000)<\/td>		1.0818<\/td><\/tr>
36<\/td>Chillogalli Astudillo Jos\u00e9 Eduardo, Garc\u00eda Uzca Cristopher Fernando, Cando Naula Diego Jonnathan, Morquecho Salto Edgar Gonzalo, Torres Contreras Santiago Patricio, Astudillo Salinas Darwin Fabi\u00e1n<\/td>Department of Electrical Engineering, Electronics and Telecommunications (DEET), University of Cuenca, Ecuador<\/td>Multi-Start Nonlinear Success-History Adaptive Differential Evolution<\/td>0.1720
(0.0852)<\/td>		5000
(1.0000)<\/td>		1.0852<\/td><\/tr>
37<\/td>Dr. Vasundhara Mahajan, Mr. Vamshi Bhukya<\/td>Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat – 395007, India<\/td>CL_HC2RCEDUMDA<\/td>0.1826
(0.1592)<\/td>		5000
(1.0000)<\/td>		1.1592<\/td><\/tr>
38<\/td>Bipul Gyawali, Saurav Aryal<\/td>Howard University, USA<\/td>FairMix-focused DE<\/td>0.2469
(0.6087)<\/td>		3220.7
(0.6037)<\/td>		1.2125<\/td><\/tr>
39<\/td>(a) (b) Ansel Y. Rodr\u00edguez Gonz\u00e1lez, (a) Marco Antonio P\u00e9rez Doimeadios, (c) Yoan Mart\u00ednez L\u00f3pez, (a) Lino Alberto Rodriguez Coayahuitl, (a) Jos\u00e9 Agust\u00edn Almaraz Dami\u00e1n, (d) Julio Madera<\/td>(a) CICESE, Mexico; (b) SECIHTI, Mexico; (c) Universidad de C\u00f3rdoba, Spain; (d) Universidad de Camag\u00fcey, Cuba<\/td>RCEDPADA5000<\/td>0.1995
(0.2778)<\/td>		5000
(1.0000)<\/td>		1.2778<\/td><\/tr>
40<\/td>Binti Kumari<\/td>Dayalbagh Educational Institute, Deemed to be University, Agra, Uttar Pradesh, India<\/td>HyDE-DF with RNN-RL adaptive ginv control<\/td>0.2190
(0.4139)<\/td>		4700
(0.9332)<\/td>		1.3471<\/td><\/tr>
41<\/td>Muhammad Waqar Hassan<\/td>Faculty of Mining, Safety Engineering and Automation Industry, Silesian University of Technology, Poland<\/td>Enhanced PSO with Opposition Learning and Restart Strategy<\/td>0.2171
(0.4004)<\/td>		5000
(1.0000)<\/td>		1.4004<\/td><\/tr>
42<\/td>Dumitru Novic<\/td>inZOR-ND Research, Independent<\/td>Bio-Adaptive Warm-Start Differential Evolution (BAWS-DE)<\/td>0.2331
(0.5126)<\/td>		4789
(0.9530)<\/td>		1.4656<\/td><\/tr>
43<\/td>Dr. Vasundhara Mahajan, Mr. Vamshi Bhukya<\/td>Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat – 395007, India<\/td>GAPSO<\/td>0.2375
(0.5432)<\/td>		5000
(1.0000)<\/td>		1.5432<\/td><\/tr>
44<\/td>Dr. Vasundhara Mahajan, Mr. Vamshi Bhukya<\/td>Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat – 395007, India<\/td>GAPSO<\/td>0.2798
(0.8388)<\/td>		5000
(1.0000)<\/td>		1.8388<\/td><\/tr>
45<\/td>Dr. Vasundhara Mahajan, Mr. Vamshi Bhukya<\/td>Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat – 395007, India<\/td>DETLBO<\/td>0.2863
(0.8845)<\/td>		5000
(1.0000)<\/td>		1.8845<\/td><\/tr>
Honorable Mention<\/strong><\/td>Michael Ibrahim<\/strong><\/td>Cairo University, Egypt<\/strong><\/td>FAIRHYBRID Random-start hybrid optimizer<\/strong><\/td>0.1554
(0.0000)<\/strong><\/td>		82
(0.0000)<\/strong><\/td>		0.0000<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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Competition Outline<\/h2>\n\n\n\n

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\u2019s 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.<\/p>\n\n\n\n

Note: The track is developed to run under the same framework as past competitions.<\/p>\n\n\n\n

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Competition Goals<\/h2>\n\n\n\n

The competition has been held since 2017 at major conferences (the first competition was launched at IEEE PES GM) \u2013 Website: http:\/\/www.gecad.isep.ipp.pt\/smartgridcompetitions<\/a>.<\/p>\n\n\n\n

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).<\/p>\n\n\n\n

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Rules<\/h2>\n\n\n\n