Multi-objectivization, fitness landscape transformation and search performance: a case of study on the HP model for protein structure prediction

DOI10.1016/j.ejor.2014.06.009zbMath1346.90844OpenAlexW1992269105MaRDI QIDQ319110

Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregorio Toscano-Pulido

Publication date: 6 October 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2014.06.009

zbMATH Keywords

protein structure predictionmulti-objective evolutionary algorithmsfitness landscape analysishydrophobic-polar modelmulti-objectivization

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Protein sequences, DNA sequences (92D20)

Related Items (5)

Alternative evaluation functions for the cyclic bandwidth sum problem ⋮ Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization ⋮ Peeking beyond peaks: challenges and research potentials of continuous multimodal multi-objective optimization ⋮ Multi-objectivization relaxes multi-funnel structures in single-objective NK-landscapes ⋮ HPS_PSP: HIGH PERFORMANCE SYSTEM FOR PROTEIN STRUCTURE PREDICTION

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