[HTML][HTML] Multicriteria Optimization Techniques for Understanding the Case Mix Landscape of a Hospital
Various medical and surgical units operate in a typical hospital and to treat their patients
these units compete for infrastructure like operating rooms (OR) and ward beds. How that …
these units compete for infrastructure like operating rooms (OR) and ward beds. How that …
Optimization on Pareto sets: On a theory of multi-objective optimization
In multi-objective optimization, a single decision vector must balance the trade-offs between
many objectives. Solutions achieving an optimal trade-off are said to be Pareto optimal …
many objectives. Solutions achieving an optimal trade-off are said to be Pareto optimal …
Directional pareto front and its estimation to encourage multi-objective decision-Making
This work introduces the following concepts of directional and estimated directional Pareto
front to encourage multi-objective decision making, especially when the Pareto front exists in …
front to encourage multi-objective decision making, especially when the Pareto front exists in …
Topology of Pareto sets of strongly convex problems
A multiobjective optimization problem is simplicial if the Pareto set and front are
homeomorphic to a simplex and, under the homeomorphisms, each face of the simplex …
homeomorphic to a simplex and, under the homeomorphisms, each face of the simplex …
Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling
For an efficient upconvert of the Pareto front resolution by utilizing a known candidate
solution set, this paper proposed an algorithm that built the Pareto front and the Pareto set …
solution set, this paper proposed an algorithm that built the Pareto front and the Pareto set …
Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization
RJ Scholman, A Bouter, LRM Dickhoff… - … Conference on Parallel …, 2022 - Springer
Even if a Multi-modal Multi-Objective Evolutionary Algorithm (MMOEA) is designed to find
solutions well spread over all locally optimal approximation sets of a Multi-modal Multi …
solutions well spread over all locally optimal approximation sets of a Multi-modal Multi …
Asymptotic risk of Bézier simplex fitting
The B'ezier simplex fitting is a novel data modeling technique which utilizes geometric
structures of data to approximate the Pareto set of multi-objective optimization problems …
structures of data to approximate the Pareto set of multi-objective optimization problems …
Pareto Front Estimation Model Optimization for Aggregative Solution Set Representation
N Okumura, K Takadama, H Sato - 2024 IEEE Congress on …, 2024 - ieeexplore.ieee.org
This paper aims to enhance the accuracy of the Pareto front estimation model as an
aggregative representation of the non-dominated solutions and proposes an algorithm …
aggregative representation of the non-dominated solutions and proposes an algorithm …
How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions
Invariance properties are important for evolutionary algorithms to ensure consistent behavior
and performance on broader classes of objective functions. Owing to the ranking-based …
and performance on broader classes of objective functions. Owing to the ranking-based …
Simpliciality of strongly convex problems
N Hamada, S Ichiki - Journal of the Mathematical Society of Japan, 2021 - jstage.jst.go.jp
Simpliciality of strongly convex problems Page 1 c⃝2021 The Mathematical Society of Japan
J. Math. Soc. Japan Vol. 73, No. 3 (2021) pp. 965–982 doi: 10.2969/jmsj/83918391 …
J. Math. Soc. Japan Vol. 73, No. 3 (2021) pp. 965–982 doi: 10.2969/jmsj/83918391 …