Local search in speciation-based bloat control for genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@Article{Juarez-Smith:GPEM,

• author = "Perla Juarez-Smith and Leonardo Trujillo and Mario Garcia-Valdez and Francisco {Fernandez de Vega} and Francisco Chavez",
• title = "Local search in speciation-based bloat control for genetic programming",
• journal = "Genetic Programming and Evolvable Machines",
• year = "2019",
• volume = "20",
• number = "3",
• pages = "351--384",
• month = sep,
• keywords = "genetic algorithms, genetic programming, Bloat, NEAT, Local search",
• ISSN = "1389-2576",
• DOI = "doi:10.1007/s10710-019-09351-7",
• size = "34 pages",
• abstract = "This work presents a unique genetic programming (GP) approach that integrates a numerical local search method and a bloat-control mechanism to address some of the main issues with traditional GP. The former provides a directed search operator to work in conjunction with standard syntax operators that perform more exploration in design space, while the latter controls code growth by maintaining program diversity through speciation. The system can produce highly parsimonious solutions, thus reducing the cost of performing the local optimization process. The proposal is extensively evaluated using real-world problems from diverse domains, and the behavior of the search is analyzed from several different perspectives, including how species evolve, the effect of the local search process and the interpretability of the results. Results show that the proposed approach compares favorably with a standard approach, and that the hybrid algorithm can be used as a viable alternative for solving real-world symbolic regression problems.",

}

Genetic Programming entries for Perla Sarahi Juarez-Smith Leonardo Trujillo Mario Garcia-Valdez Francisco Fernandez de Vega Francisco Chavez de la O

Citations