Amanote Research

Amanote Research

    RegisterSign In

Towards Many-Objective Optimisation With Hyper-Heuristics: Identifying Good Heuristics With Indicators

Lecture Notes in Computer Science - Germany
doi 10.1007/978-3-319-45823-6_46
Full Text
Open PDF
Abstract

Available in full text

Categories
Computer ScienceTheoretical Computer Science
Date

January 1, 2016

Authors
David J. WalkerEd Keedwell
Publisher

Springer International Publishing


Related search

Ensemble Move Acceptance in Selection Hyper-Heuristics

Communications in Computer and Information Science
MathematicsComputer Science
2016English

Distributed Hyper-Heuristics for Real Parameter Optimization

2009English

Memory Length in Hyper-Heuristics: An Empirical Study

2007English

On the Runtime Analysis of Selection Hyper-Heuristics With Adaptive Learning Periods

2018English

An Investigation of Selection Hyper-Heuristics in Dynamic Environments

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2011English

Constructing Constrained-Version of Magic Squares Using Selection Hyper-Heuristics

Computer Journal
Computer Science
2013English

Hyper-Heuristics for Explicit Resource Partitioning in Simultaneous Multi-Threaded Processors

Turkish Journal of Electrical Engineering and Computer Sciences
Electronic EngineeringElectricalComputer Science
2020English

Moral Heuristics

2019English

Optimised Search Heuristics: A Mapping of Procedures and Combinatorial Optimisation Problems

SSRN Electronic Journal
2006English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy