Evolutionary Constrained Optimization

This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; mu...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Datta, Rituparna (Επιμελητής έκδοσης), Deb, Kalyanmoy (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New Delhi : Springer India : Imprint: Springer, 2015.
Σειρά:Infosys Science Foundation Series,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • A Critical Review of Adaptive Penalty Techniques in Evolutionary Computation
  • Ruggedness Quantifying for Constrained Continuous Fitness Landscapes
  • Trust Regions in Surrogate-Assisted Evolutionary Programming for Constrained Expensive Black-Box Optimization
  • Ephemeral Resource Constraints in Optimization
  • Incremental Approximation Models for Constrained Evolutionary Optimization
  • Efficient Constrained Optimization by the ε Constrained Differential Evolution with Rough Approximation
  • Analyzing the Behaviour of Multi-Recombinative Evolution Strategies Applied to a Conically Constrained Problem
  • Locating Potentially Disjoint Feasible Regions of a Search Space with a Particle Swarm Optimizer
  • Ensemble of Constraint Handling Techniques for Single Objective Constrained Optimization
  • Evolutionary Constrained Optimization: A Hybrid Approach.