Pages that link to "Item:Q336339"
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The following pages link to MOEA/D + uniform design: a new version of MOEA/D for optimization problems with many objectives (Q336339):
Displaying 20 items.
- A new evolutionary algorithm based on contraction method for many-objective optimization problems (Q278602) (← links)
- A novel hybrid multi-objective immune algorithm with adaptive differential evolution (Q337634) (← links)
- Generalized decomposition and cross entropy methods for many-objective optimization (Q507765) (← links)
- Methods for multi-objective optimization: an analysis (Q508908) (← links)
- A novel adaptive control strategy for decomposition-based multiobjective algorithm (Q1652059) (← links)
- An improved MOEA/D with optimal DE schemes for many-objective optimization problems (Q1657040) (← links)
- Many-objective optimization using adaptive differential evolution with a new ranking method (Q1717980) (← links)
- A variable neighborhood MOEA/D for multiobjective test task scheduling problem (Q1718350) (← links)
- Multiobjective cloud particle optimization algorithm based on decomposition (Q1736646) (← links)
- A modification to MOEA/D-DE for multiobjective optimization problems with complicated Pareto sets (Q1761606) (← links)
- A multiobjective multifactorial optimization algorithm based on decomposition and dynamic resource allocation strategy (Q1999106) (← links)
- An efficient solution strategy for bilevel multiobjective optimization problems using multiobjective evolutionary algorithm (Q2100200) (← links)
- A scalarization-based dominance evolutionary algorithm for many-objective optimization (Q2200724) (← links)
- Variable space diversity, crossover and mutation in MOEA solving many-objective knapsack problems (Q2441311) (← links)
- Enhancing MOEA/D with information feedback models for large-scale many-objective optimization (Q2663467) (← links)
- DMaOEA-\(\varepsilon\)C: decomposition-based many-objective evolutionary algorithm with the \(\varepsilon\)-constraint framework (Q2666817) (← links)
- Multi-condition multi-objective optimization using deep reinforcement learning (Q2671337) (← links)
- An overview of population-based algorithms for multi-objective optimisation (Q2792889) (← links)
- Multi-objective fuzzy flexible job shop scheduling using memetic algorithm (Q5106976) (← links)
- Augmented TP model transformation-based parallel distributed compensation control design (Q6569792) (← links)
