Interactive multiple criteria decision making based on preference driven evolutionary multiobjective optimization with controllable accuracy

DOI10.1016/j.ejor.2011.07.013zbMath1237.90112OpenAlexW2020275683WikidataQ57594120 ScholiaQ57594120MaRDI QIDQ421734

Dmitry Podkopaev, Ignacy Kaliszewski, Janusz Miroforidis

Publication date: 14 May 2012

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2011.07.013

zbMATH Keywords

multiple criteria analysismultiple objective programmingevolutionary computations

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Management decision making, including multiple objectives (90B50) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (10)

On upper approximations of Pareto fronts ⋮ An interactive evolutionary multi-objective optimization algorithm with a limited number of decision maker calls ⋮ Visualization-aided multi-criteria decision-making using interpretable self-organizing maps ⋮ Interactive multiple criteria decision making based on preference driven evolutionary multiobjective optimization with controllable accuracy ⋮ Primal-dual type evolutionary multiobjective optimization ⋮ Two-sided Pareto front approximations ⋮ Cooperative multiobjective optimization with bounds on objective functions ⋮ An interactive method for multiple criteria group decision analysis based on interval type-2 fuzzy sets and its application to medical decision making ⋮ Bounds on efficient outcomes for large-scale cardinality-constrained Markowitz problems ⋮ Interactive Multiple Criteria Decision Making for Large-Scale Multi-Objective Optimization Problems

Uses Software

• Genocop

Cites Work

• Interactive multiple criteria decision making based on preference driven evolutionary multiobjective optimization with controllable accuracy
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