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ORCIDGenetic Programming and Evolvable Machines, Volume 27
Volume 27, Number 1, June 2026
- Claude Carlet, Marko Durasevic, Domagoj Jakobovic, Stjepan Picek, Luca Mariot:
A systematic study on the design of odd-sized highly nonlinear boolean functions via evolutionary algorithms. 1 - Darius Scheepers, Nelishia Pillay:
A structure-based genetic programming generation constructive hyper-heuristic with transfer learning for combinatorial optimisation. 2 - Hassan Dana Mazraeh, Kourosh Parand:
GELS-SVR: a combination of grammatical evolution and least squares support vector regression for symbolic solution to Falkner-Skan equation. 3 - Jamal Toutouh:
Xin Yao & Siang Yew Chong: Coevolutionary Computation and Its Applications. 4 - Sigur de Vries
, Sander Keemink, Marcel van Gerven:
Discovering continuous-time memory-based symbolic policies using genetic programming. 5 - Iliya Miralavy, Wolfgang Banzhaf:
Analyzing the impact of space in evolving spatially represented genetic programming models. 6 - Lin Dong, Ying Bi, Bing Xue, Mengjie Zhang:
An enhanced genetic programming algorithm with new genetic operators for medical image classification. 7 - Su Nguyen, Binh Tran, Xuan Nam Ngo, Duy Thinh Tran:
Towards online genetic programming approach to dynamic flexible job shop scheduling. 8 - Leonardo Vanneschi, Sofia Pereira, Davide Farinati:
SLIM: the non-bloating genetic programming with geometric semantic mutations and meaningful semantic crossover. 9 - Jessica Mégane, Eric Medvet, Nuno Lourenço, Penousal Machado:
Exploring grammar-guided design and evolution of polyominoes with modular soft robots. 10 - Peter Rockett:
Solving ordinary differential equations with genetic programming with hard initial/boundary value constraints. 11
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