A kriging-assisted two-archive evolutionary algorithm for expensive many-objective optimization
Only a small number of function evaluations can be afforded in many real-world
multiobjective optimization problems (MOPs) where the function evaluations are …
multiobjective optimization problems (MOPs) where the function evaluations are …
A classification-based surrogate-assisted evolutionary algorithm for expensive many-objective optimization
Surrogate-assisted evolutionary algorithms (SAEAs) have been developed mainly for
solving expensive optimization problems where only a small number of real fitness …
solving expensive optimization problems where only a small number of real fitness …
Improved many-objective particle swarm optimization algorithm for scientific workflow scheduling in cloud computing
S Saeedi, R Khorsand, SG Bidgoli… - Computers & Industrial …, 2020 - Elsevier
Optimized scientific workflow scheduling can greatly improve the overall performance of
cloud computing. As workflow scheduling belongs to NP-complete problem, so, meta …
cloud computing. As workflow scheduling belongs to NP-complete problem, so, meta …
Balancing objective optimization and constraint satisfaction in expensive constrained evolutionary multi-objective optimization
In dealing with expensive constrained multi-objective optimization problems using surrogate-
assisted evolutionary algorithms, it is a great challenge to reduce the negative impact …
assisted evolutionary algorithms, it is a great challenge to reduce the negative impact …
Interval type 2 trapezoidal‐fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e‐tourism applications
The benchmarking of smart e‐tourism data management applications falls under the
problem of multicriteria decision‐making (MCDM). This claim is supported by three issues …
problem of multicriteria decision‐making (MCDM). This claim is supported by three issues …
Multi-objective sparrow search algorithm: A novel algorithm for solving complex multi-objective optimisation problems
B Li, H Wang - Expert Systems with Applications, 2022 - Elsevier
This study proposes a multi-objective sparrow search algorithm (MOSSA) based on a 2k
crowding-distance entropy and the optimal strategy of the positions to solve complex multi …
crowding-distance entropy and the optimal strategy of the positions to solve complex multi …
Based on neutrosophic fuzzy environment: a new development of FWZIC and FDOSM for benchmarking smart e-tourism applications
The task of benchmarking smart e-tourism applications based on multiple smart key concept
attributes is considered a multi-attribute decision-making (MADM) problem. Although the …
attributes is considered a multi-attribute decision-making (MADM) problem. Although the …
Local model-based Pareto front estimation for multiobjective optimization
The Pareto front (PF) estimation has become an emerging strategy for solving multiobjective
optimization problems in recent studies. By approximating the geometrical structure of the …
optimization problems in recent studies. By approximating the geometrical structure of the …
Expensive multiobjective optimization by relation learning and prediction
Expensive multiobjective optimization problems pose great challenges to evolutionary
algorithms due to their costly evaluation. Building cheap surrogate models to replace the …
algorithms due to their costly evaluation. Building cheap surrogate models to replace the …
Diversity assessment of multi-objective evolutionary algorithms: Performance metric and benchmark problems [research frontier]
Diversity preservation plays an important role in the design of multi-objective evolutionary
algorithms, but the diversity performance assessment of these algorithms remains …
algorithms, but the diversity performance assessment of these algorithms remains …