Adaptive racing ranking-based immune optimization approach solving multi-objective expected value programming

DOI10.1007/s00500-016-2467-5zbMath1398.90167OpenAlexW2581341958MaRDI QIDQ1797827

Kai Yang, Jiaxuan Lu, Zhuhong Zhang

Publication date: 22 October 2018

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-016-2467-5

zbMATH Keywords

computational complexityimmune optimizationadaptive racing rankingmulti-objective expected value programmingsample bound estimate

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• MOEA/D

Cites Work

• Unnamed Item
• Unnamed Item
• A novel micro-population immune multiobjective optimization algorithm
• The weighted sum method for multi-objective optimization: new insights
• Adaptive and nonadaptive approaches to statistically based methods for solving stochastic linear programs: a computational investigation
• A multiobjective immune algorithm based on a multiple-affinity model
• Evolutionary multiobjective optimization in noisy problem environments
• Theory and practice of uncertain programming.
• An evolutionary artificial immune system for multi-objective optimization
• Lectures on Stochastic Programming
• Adaptive sampling immune algorithm solving joint chance-constrained programming
• Probability Inequalities for Sums of Bounded Random Variables
• Approximate Simulation Budget Allocation for Selecting the Best Design in the Presence of Stochastic Constraints
• Stochastic multi-objective optimization: a survey on non-scalarizing methods

This page was built for publication: Adaptive racing ranking-based immune optimization approach solving multi-objective expected value programming