Dispersion of relative importance values contributes to the ranking uncertainty: Sensitivity analysis of Multiple Criteria Decision-Making methods
V Maliene, R Dixon-Gough, N Malys - Applied Soft Computing, 2018 - Elsevier
Abstract Multiple Criteria Decision-Making (MCDM) methods are widely used in research
and industrial applications. These methods rely heavily on expert perceptions and are often …
and industrial applications. These methods rely heavily on expert perceptions and are often …
Multi-objective individualized-instruction teaching-learning-based optimization algorithm
D Yu, J Hong, J Zhang, Q Niu - Applied Soft Computing, 2018 - Elsevier
Traditional multi-objective evolutionary algorithms (MOEAs) adopt selection and
reproduction operators to find approximate solutions for multi-objective optimization …
reproduction operators to find approximate solutions for multi-objective optimization …
Efficient fog prediction with multi-objective evolutionary neural networks
AM Durán-Rosal, JC Fernández… - Applied Soft …, 2018 - Elsevier
This paper proposes the application of novel artificial neural networks with evolutionary
training and different basic functions (sigmoidal, product and radial), for a real problem of fog …
training and different basic functions (sigmoidal, product and radial), for a real problem of fog …
A multi-objective evolutionary algorithm based on Pareto prediction for automatic test task scheduling problems
The test task scheduling problem (TTSP) is a combinatorial optimization problem still under
investigation. A multi-objective evolutionary algorithm based on Pareto prediction (PP …
investigation. A multi-objective evolutionary algorithm based on Pareto prediction (PP …
Multi-objective energy efficient resource allocation using virus colony search (VCS) algorithm
Optimizing energy-efficient resource allocation in a cloud computing environment, which is a
non-linear multi-objective NP-hard problem, plays a vital role in decreasing energy …
non-linear multi-objective NP-hard problem, plays a vital role in decreasing energy …
Optimizing the energy efficient VM consolidation by a multi-objective algorithm
Optimizing energy efficient Virtual Machine Consolidation (VMC) in a cloud computing
environment, which is a non-linear multi-objective NP-hard problem, plays a vital role in …
environment, which is a non-linear multi-objective NP-hard problem, plays a vital role in …
Tuning multi-objective optimization algorithms for the integration and testing order problem
Abstract Multi-Objective Evolutionary Algorithms (MOEAs) are one of the most used search
techniques in Search-Based Software Engineering (SBSE). However, MOEAs have many …
techniques in Search-Based Software Engineering (SBSE). However, MOEAs have many …
Šahovski sistem rangiranja za primerjavo evolucijskih algoritmov večkriterijske optimizacije
M Ravber - 2018 - search.proquest.com
Evolucijski algoritmi večkriterijske optimizacije so bili uspešno uporabljeni za reševanje
realnih večkriterijskih problemov, kar pojasnjuje tudi njihovo popularnost. Ocenjevanje in …
realnih večkriterijskih problemov, kar pojasnjuje tudi njihovo popularnost. Ocenjevanje in …