Bioinspired Optimization Methods and Their Applications

[1]  Wolfgang Banzhaf,et al.  Genetic Programming: An Introduction , 1997 .

[2]  S. García,et al.  An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons , 2008 .

[3]  Farah Ben-Naoum,et al.  A survey on L-system inference , 2009 .

[4]  Xin-She Yang,et al.  Firefly Algorithms for Multimodal Optimization , 2009, SAGA.

[5]  Gerhard Reinelt,et al.  Maximally Violated Mod-p Cuts for the Capacitated Vehicle-Routing Problem , 2006, INFORMS J. Comput..

[6]  R. Brooker Concepts of Genetics , 2011 .

[7]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[8]  Leandro dos Santos Coelho,et al.  Firefly algorithm approach based on chaotic Tinkerbell map applied to multivariable PID controller tuning , 2012, Comput. Math. Appl..

[9]  P. Manikandan,et al.  IMBALANCED DATASET CLASSIFICATION AND SOLUTIONS : A REVIEW , 2014 .

[10]  Xin-She Yang,et al.  Firefly Algorithm, Lévy Flights and Global Optimization , 2010, SGAI Conf..

[11]  Yi-Ping Phoebe Chen,et al.  Derivation of L-system Models from Measurements of Biological Branching Structures Using Genetic Algorithms , 2002, IEA/AIE.

[12]  Francisco Herrera,et al.  A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[13]  Jesús Alcalá-Fdez,et al.  A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning , 2011, IEEE Transactions on Fuzzy Systems.

[14]  Michal Pluhacek,et al.  Hypersphere Universe Boundary Method Comparison on HCLPSO and PSO , 2017, HAIS.

[15]  P. G. Doucet The Syntactic Inference Problem for D0L-Sequences , 1974, L Systems.

[16]  Taghi M. Khoshgoftaar,et al.  RUSBoost: A Hybrid Approach to Alleviating Class Imbalance , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[17]  Keiichiro Yasuda,et al.  Novel single-objective optimization problem and Firefly Algorithm-based optimization method , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[18]  Jesús Alcalá-Fdez,et al.  KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework , 2011, J. Multiple Valued Log. Soft Comput..

[19]  Walter J. Gutjahr,et al.  Exact hybrid algorithms for solving a bi-objective vehicle routing problem , 2012, Central Eur. J. Oper. Res..

[20]  Dimitris Kanellopoulos,et al.  Handling imbalanced datasets: A review , 2006 .

[21]  Luciano Sánchez,et al.  Induction of descriptive fuzzy classifiers with the Logitboost algorithm , 2006, Soft Comput..

[22]  Nitesh V. Chawla,et al.  SMOTEBoost: Improving Prediction of the Minority Class in Boosting , 2003, PKDD.

[23]  A. Kumar ENCODING SCHEMES IN GENETIC ALGORITHM , 2013 .

[24]  María José del Jesús,et al.  Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms , 2004, IEEE Transactions on Fuzzy Systems.

[25]  Ponnuthurai Nagaratnam Suganthan,et al.  Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization , 2014 .

[26]  S. Holm A Simple Sequentially Rejective Multiple Test Procedure , 1979 .

[27]  A. Lindenmayer Mathematical models for cellular interactions in development. I. Filaments with one-sided inputs. , 1968, Journal of theoretical biology.

[28]  Sidnei Alves de Araújo,et al.  A hybrid approach based on genetic algorithm and nearest neighbor heuristic for solving the capacitated vehicle routing problem , 2018 .

[29]  Gilbert Laporte,et al.  The vehicle routing problem: An overview of exact and approximate algorithms , 1992 .

[30]  P. Prusinkiewicz,et al.  Using L-systems for modeling source-sink interactions, architecture and physiology of growing trees: the L-PEACH model. , 2005, The New phytologist.

[31]  Eneko Osaba,et al.  Golden ball: a novel meta-heuristic to solve combinatorial optimization problems based on soccer concepts , 2014, Applied Intelligence.

[32]  Michal Pluhacek,et al.  Comparing Border Strategies for Roaming Particles on Single and Multi-swarm PSO , 2017, CSOC.

[33]  Xin Yao,et al.  Diversity analysis on imbalanced data sets by using ensemble models , 2009, 2009 IEEE Symposium on Computational Intelligence and Data Mining.

[34]  Michael E. Wall,et al.  Galib: a c++ library of genetic algorithm components , 1996 .

[35]  Jürgen Branke,et al.  Experimental Analysis of Bound Handling Techniques in Particle Swarm Optimization , 2013, IEEE Transactions on Evolutionary Computation.

[36]  Yoav Freund,et al.  A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.

[37]  Ying He,et al.  MSMOTE: Improving Classification Performance When Training Data is Imbalanced , 2009, 2009 Second International Workshop on Computer Science and Engineering.

[38]  Farinaz Alamiyan Harandi,et al.  A reinforcement learning algorithm for adjusting antecedent parameters and weights of fuzzy rules in a fuzzy classifier , 2016, J. Intell. Fuzzy Syst..

[39]  Rakesh Kumar Novel Encoding Scheme in Genetic Algorithms for Better Fitness , 2012 .

[40]  Xin-She Yang,et al.  Multiobjective firefly algorithm for continuous optimization , 2012, Engineering with Computers.

[41]  Przemyslaw Prusinkiewicz,et al.  Control of bud activation by an auxin transport switch , 2009, Proceedings of the National Academy of Sciences.