Constraint-Handling in Evolutionary Optimization

An efficient and adequate constraint-handling technique is a key element in the design of competitive evolutionary algorithms to solve complex optimization problems. This edited book presents a collection of recent advances in nature-inspired techniques for constrained numerical optimization. The bo...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Mezura-Montes, Efrén (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Σειρά:Studies in Computational Intelligence, 198
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Continuous Constrained Optimization with Dynamic Tolerance Using the COPSO Algorithm
  • Boundary Search for Constrained Numerical Optimization Problems
  • Solving Difficult Constrained Optimization Problems by the ? Constrained Differential Evolution with Gradient-Based Mutation
  • Constrained Real-Parameter Optimization with ? -Self-Adaptive Differential Evolution
  • Self-adaptive and Deterministic Parameter Control in Differential Evolution for Constrained Optimization
  • An Adaptive Penalty Function for Handling Constraint in Multi-objective Evolutionary Optimization
  • Infeasibility Driven Evolutionary Algorithm for Constrained Optimization
  • On GA-AIS Hybrids for Constrained Optimization Problems in Engineering
  • Constrained Optimization Based on Quadratic Approximations in Genetic Algorithms
  • Constraint-Handling in Evolutionary Aerodynamic Design
  • Handling Constraints in Global Optimization Using Artificial Immune Systems: A Survey.