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ORCIDMultiobjective Problem Solving from Nature 2008
- Joshua D. Knowles, David Corne, Kalyanmoy Deb:
Multiobjective Problem Solving from Nature. Natural Computing Series, Springer 2008, ISBN 978-3-540-72963-1 - Joshua D. Knowles
, David Corne, Kalyanmoy Deb:
Introduction: Problem Solving, EC and EMO. 1-28 - Sevan Gregory Ficici:
Multiobjective Optimization and Coevolution. 31-52 - Efrén Mezura-Montes, Carlos A. Coello Coello:
Constrained Optimization via Multiobjective Evolutionary Algorithms. 53-75 - Lam Thu Bui, Minh Ha Nguyen, Jürgen Branke, Hussein A. Abbass:
Tackling Dynamic Problems with Multiobjective Evolutionary Algorithms. 77-91 - Vincenzo Cutello, Giuseppe Narzisi, Giuseppe Nicosia:
Computational Studies of Peptide and Protein Structure Prediction Problems via Multiobjective Evolutionary Algorithms. 93-114 - Frank Neumann, Ingo Wegener:
Can Single-Objective Optimization Profit from Multiobjective Optimization? 115-130 - Julia Handl, Joshua D. Knowles:
Modes of Problem Solving with Multiple Objectives: Implications for Interpreting the Pareto Set and for Decision Making. 131-151 - Jonathan E. Fieldsend, Richard M. Everson:
Multiobjective Supervised Learning. 155-176 - Stefan Bleuler, Johannes Bader, Eckart Zitzler:
Reducing Bloat in GP with Multiple Objectives. 177-200 - Katya Rodríguez-Vázquez, Peter J. Fleming:
Multiobjective GP for Human-Understandable Models: A Practical Application. 201-218 - Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima:
Multiobjective Classification Rule Mining. 219-240 - Kalyanmoy Deb, Aravind Srinivasan:
Innovization: Discovery of Innovative Design Principles Through Multiobjective Evolutionary Optimization. 243-262 - Ian C. Parmee, Johnson A. R. Abraham, Azahar Tekchand Machwe:
User-Centric Evolutionary Computing: Melding Human and Machine Capability to Satisfy Multiple Criteria. 263-283 - Amiram Moshaiov:
Multi-competence Cybernetics: The Study of Multiobjective Artificial Systems and Multi-fitness Natural Systems. 285-304 - Evan J. Hughes:
Fitness Assignment Methods for Many-Objective Problems. 307-329 - Yaochu Jin, Aimin Zhou, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang:
Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms. 331-355 - Edwin D. de Jong, Anthony Bucci:
Objective Set Compression. 357-376 - Dimo Brockhoff, Dhish Kumar Saxena, Kalyanmoy Deb, Eckart Zitzler:
On Handling a Large Number of Objectives A Posteriori and During Optimization. 377-403
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