InterCriteria Analysis Approach for Comparison of Simple and Multi-population Genetic Algorithms Performance

DOI10.1007/978-3-319-99648-6_7zbMath1421.90172OpenAlexW2892278336MaRDI QIDQ5234021

Tania Pencheva, Maria Angelova

Publication date: 9 September 2019

Published in: Recent Advances in Computational Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-99648-6_7

Mathematics Subject Classification ID

Abstract computational complexity for mathematical programming problems (90C60) Approximation methods and heuristics in mathematical programming (90C59) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Related Items (3)

Four Operations over Extended Intuitionistic Fuzzy Index Matrices and Some of Their Applications ⋮ Investigation of Genetic Algorithm Performance Based on Different Algorithms for InterCriteria Relations Calculation ⋮ InterCriteria Analysis Approach for Comparison of Simple and Multi-population Genetic Algorithms Performance

Cites Work

• On intuitionistic fuzzy sets theory
• A Hybrid Genetic Algorithm for Parameter Identification of Bioprocess Models
• InterCriteria Analysis Approach for Comparison of Simple and Multi-population Genetic Algorithms Performance
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