Recent Advances in Computational Optimization Results of the Workshop on Computational Optimization WCO 2014 /

This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2014, held at Warsaw, Poland, September 7-10, 2014. The book presents recent advances in computational optimization. The volume includes important real problems like parameter settings...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Fidanova, Stefka (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Studies in Computational Intelligence, 610
Temas:
Computational intelligence.
Artificial intelligence.
Operations research.
Computational Intelligence.
Artificial Intelligence.
Operations Research and Decision Theory.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Finding Otimal Discretization Orders for Molecular Distance Geometry by Answer Set Programming
  • Estimation of Edge Infection Probabilities in the Inverse Infection Problem
  • On a Quantum Algorithm for the Resolution of Systems of Linear Equations
  • Synthesis of Self-Adaptive Supervisors of Multi-Task Real-Time Object-Oriented Systems Using Developmental Genetic Programming
  • Direct Shooting Method for Optimal Control of the Highly Nonlinear Differential-Algebraic Systems
  • A Review on the Direct and Indirect Methods for Solving Optimal Control Problems with Differential-Algebraic Constraints
  • InterCriteria Analysis of ACO and GA Hybrid Algorithms
  • A Two-Stage Look-Ahead Heuristic for Packing Spheres into a Three-Dimensional Bin of Minimum Length
  • Handling Lower Bound and Hill-Climbing Strategies for Sphere Packing Problems
  • Multi-Objective Meta-Evolution Method for Large-Scale Optimization Problems
  • Dispersive Flies Optimisation and Medical Imaging
  • An Efficient Solution of the Resource Constrained Project Scheduling Problem Based on an Adaptation of the Developmental Genetic Programming
  • Bayesian-Based Approach to Application of the Genetic Algorithm to Localize the Abrupt Atmospheric Contamination Source.

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