Results 11 to 20 of about 2,235,647 (195)
AI Magazine, 2008 Using some real‐world examples I illustrate the important role of multiobjective optimization in decision making and its interface with preference handling. I explain what optimization in the presence of multiple objectives means and discuss some of the most common methods of solving multiobjective optimization problems using transformations to single ...
Branke, Jürgen +3 more
+7 more sources
Decision support for build-to-order supply chain management through multiobjective optimization [PDF]
, 2010 This paper aims to identify the gaps in decision-making support based on multiobjective optimization for build-to-order supply chain management (BTOSCM).
Gallear, D, Mansouri, A, Askariazad, M
core +5 more sources
Multiobjective linguistic optimization [PDF]
Fuzzy Sets and Systems, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christer Carlsson, Robert Fullér
openaire +2 more sources
Probability of improvement methods for constrained multi-objective optimization [PDF]
, 2008 This paper shows how the simultaneous consideration of multiple Kriging models can lead to useful metrics for the selection of design vectors in constrained multiobjective optimization.
G.I. Hawe +3 more
core +2 more sources
Natural Resource Modeling, 2021 Multiobjective optimization is increasingly used to assist decision‐making in forest management when multiple objectives are considered and conflict with each other.
Ji She, Woodam Chung, Hector Vergara
doaj +1 more source
A Fusion Multiobjective Empire Split Algorithm
Journal of Control Science and Engineering, 2020 In the last two decades, swarm intelligence optimization algorithms have been widely studied and applied to multiobjective optimization problems. In multiobjective optimization, reproduction operations and the balance of convergence and diversity are two
Liang Liang
doaj +1 more source
International Journal of Mechanical System Dynamics, 2022 This paper presents a new multiobjective discrete optimization method for the engineering design of dynamic problems. A discrete combinatorial optimization problem is solved using a particle swarm optimization algorithm coupled with a stair‐form ...
Wenjie Ding +3 more
doaj +1 more source
A mono surrogate for multiobjective optimization [PDF]
Proceedings of the 12th annual conference on Genetic and evolutionary computation, 2010 Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective Optimization Algorithm (EMOA) in lieu of the actual objectives, without modifying the underlying EMOA; or to filter out points that the models predict to be uninteresting.
Loshchilov, Ilya +2 more
openaire +2 more sources
09041 Abstracts Collection – Hybrid and Robust Approaches to Multiobjective Optimization [PDF]
, 2009 The seminar "Hybrid and Robust Approaches to Multiobjective Optimization" was a sequel to two previous Dagstuhl seminars (04461 in 2004 and 06501 in 2006).
Zitzler, Eckart +3 more
core +1 more source
09041 Summary – Hybrid and Robust Approaches to Multiobjective Optimization [PDF]
, 2009 The seminar “Hybrid and Robust Approaches to Multiobjective Optimization” was a sequel to two previous Dagstuhl seminars (04461 in 2004 and 06501 in 2006). The main idea of this seminar series has been to bring together two contemporary fields related to
Zitzler, Eckart +3 more
core +1 more source