An interactive evolutionary multi-objective optimization algorithm with a limited number of decision maker calls

DOI10.1016/j.ejor.2013.08.046zbMath1339.90340OpenAlexW2038157541MaRDI QIDQ297014

Kalyanmoy Deb, Jyrki Wallenius, Ankur Sinha, Pekka J. Korhonen

Publication date: 24 June 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2013.08.046

zbMATH Keywords

evolutionary multi-objective optimizationinteractive multi-objective optimizationmultiple criteria decision-making

Mathematics Subject Classification ID

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

Related Items (3)

Convex preference cone-based approach for many objective optimization problems ⋮ Visualization-aided multi-criteria decision-making using interpretable self-organizing maps ⋮ Fuzzy Real-Time Multi-objective Optimization of a Prosthesis Test Robot Control System

Uses Software

• KNITRO
• NEWUOA
• SPEA2

Cites Work

• Interactive multiple criteria decision making based on preference driven evolutionary multiobjective optimization with controllable accuracy
• Interactive evolutionary multiobjective optimization driven by robust ordinal regression
• Multiobjective optimization. Interactive and evolutionary approaches
• Interactive evolutionary multi-objective optimization for quasi-concave preference functions
• Building a set of additive value functions representing a reference preorder and intensities of preference: GRIP method
• An Interactive Evolutionary Metaheuristic for Multiobjective Combinatorial Optimization
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