Evolutionary Multi-Criterion Optimization 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Obayashi, Shigeru (Επιμελητής έκδοσης), Deb, Kalyanmoy (Επιμελητής έκδοσης), Poloni, Carlo (Επιμελητής έκδοσης), Hiroyasu, Tomoyuki (Επιμελητής έκδοσης), Murata, Tadahiko (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Σειρά: Lecture Notes in Computer Science, 4403
• Θέματα: Computer science.; Algorithms.; Numerical analysis.; Artificial intelligence.; Computer Science.; Algorithm Analysis and Problem Complexity.; Numeric Computing.; Artificial Intelligence (incl. Robotics).

Multicriterion optimization refers to problems with two or more objectives (normally in conflict with each other) which must be simultaneously satisfied. Evolutionary algorithms have been used for solving multicriterion optimization problems for over two decades, gaining an increasing attention from...

Πίνακας περιεχομένων:

• Invited Talks
• Algorithm Design
• Algorithm Improvements
• Alternative Methods
• Applications
• Engineering Design
• Many Objectives
• Objective Handling
• Performance Assessments.