4siIn this paper we continue the investigation of the effect of local search in geometric semantic genetic programming (GSGP), with the introduction of a new general local search operator that can be easily customized. We show that it is able to obtain results on par with the current best-performing GSGP with local search and, in most cases, better than standard GSGP.reservedmixedCastelli Mauro; Manzoni Luca; Mariot Luca; Saletta MartinaCastelli, Mauro; Manzoni, Luca; Mariot, Luca; Saletta, Martin
Abstract — Achieving a balance between the exploration and exploitation capabilities of genetic algo...
Geometric Semantic Genetic Programming (GSGP) is a recently introduced form of Genetic Programming (...
Achieving a balance between the exploration and exploitation capabilities of genetic algorithms is a...
Castelli, M., Manzoni, L., Mariot, L., & Saletta, M. (2019). Extending local search in geometric sem...
We report a series of experiments within a multiobjective genetic programming (GP) framework using s...
Traditional Genetic Programming (GP) searches the space of functions/programs by using search operat...
Abstract. Traditional Genetic Programming (GP) searches the space of functions/programs by using sea...
4siIn a recent contribution we have introduced a new implementation of geometric semantic operators ...
We report a series of experiments that use semantic-based local search within a multiobjective genet...
4siBig data knowledge discovery emerged as an important factor contributing to advancements in socie...
3siGeometric Semantic Genetic Programming (GSGP) is a recently introduced framework to design domain...
Recent advances in geometric semantic genetic programming (GSGP) have shown that the results obtaine...
Castelli, M., Manzoni, L., Mariot, L., Menara, G., & Pietropolli, G. (2022). The Effect of Multi-Gen...
Pietropolli, G., Manzoni, L., Paoletti, A., & Castelli, M. (2022). Combining Geometric Semantic GP w...
Analysis and classification of mental states of vigilance with evolutionary computatio
Abstract — Achieving a balance between the exploration and exploitation capabilities of genetic algo...
Geometric Semantic Genetic Programming (GSGP) is a recently introduced form of Genetic Programming (...
Achieving a balance between the exploration and exploitation capabilities of genetic algorithms is a...
Castelli, M., Manzoni, L., Mariot, L., & Saletta, M. (2019). Extending local search in geometric sem...
We report a series of experiments within a multiobjective genetic programming (GP) framework using s...
Traditional Genetic Programming (GP) searches the space of functions/programs by using search operat...
Abstract. Traditional Genetic Programming (GP) searches the space of functions/programs by using sea...
4siIn a recent contribution we have introduced a new implementation of geometric semantic operators ...
We report a series of experiments that use semantic-based local search within a multiobjective genet...
4siBig data knowledge discovery emerged as an important factor contributing to advancements in socie...
3siGeometric Semantic Genetic Programming (GSGP) is a recently introduced framework to design domain...
Recent advances in geometric semantic genetic programming (GSGP) have shown that the results obtaine...
Castelli, M., Manzoni, L., Mariot, L., Menara, G., & Pietropolli, G. (2022). The Effect of Multi-Gen...
Pietropolli, G., Manzoni, L., Paoletti, A., & Castelli, M. (2022). Combining Geometric Semantic GP w...
Analysis and classification of mental states of vigilance with evolutionary computatio
Abstract — Achieving a balance between the exploration and exploitation capabilities of genetic algo...
Geometric Semantic Genetic Programming (GSGP) is a recently introduced form of Genetic Programming (...
Achieving a balance between the exploration and exploitation capabilities of genetic algorithms is a...