Survey and Unification of Local Search Techniques in Metaheuristics for Multi-Objective Combinatorial Optimisation

Journal of Heuristics - Netherlands
doi 10.1007/s10732-018-9381-1
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Combining Local Search and Elicitation for Multi-Objective Combinatorial Optimization

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2019English

A Hybrid Multi-Objective Extremal Optimisation Approach for Multi-Objective Combinatorial Optimisation Problems

2010English

Multi-Objective Optimisation of Turbomachinery Blades Using Tabu Search

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2005English

A Critical Survey of Performance Indices for Multi-Objective Optimisation

English

Evolutionary Multi-Level Robust Solution Search for Noisy Multi-Objective Optimisation Problems With Different Noise Levels

International Journal of Automation and Logistics
2016English

Value Modelling for Multi-Stakeholder and Multi-Objective Optimisation in Engineering Design

Journal of Engineering Design
Engineering
2016English

Performance Measures for Dynamic Multi-Objective Optimisation Algorithms

Information Sciences
ControlSystems EngineeringManagementTheoretical Computer ScienceComputer Science ApplicationsInformation SystemsArtificial IntelligenceSoftware
2013English

Automated Solution Selection in Multi-Objective Optimisation

2008English

The Use of CFD and Multi-Objective Optimisation Techniques to Customise an Industrial Pre-Mixer

Structural and Multidisciplinary Optimization
ControlSystems EngineeringComputer GraphicsOptimizationComputer Science ApplicationsComputer-Aided DesignSoftware
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy