Results 21 to 30 of about 122,352 (134)

Real ant colony optimization as a tool for multi-criteria problems

open access: yesComputer Assisted Methods in Engineering and Science, 2017
This paper presents a population-based heuristic method - a real ant colony optimization (RACO) as a tool for multi-criteria optimization problems. The idea of multi-criteria optimization is discussed and the necessary modifications of RACO are proposed.
Iwona Nowak, Grzegorz Nowak
doaj   +1 more source

Guiding model‐driven combination dose selection using multi‐objective synergy optimization

open access: yesCPT: Pharmacometrics & Systems Pharmacology, 2023
Despite the growing appreciation that the future of cancer treatment lies in combination therapies, finding the right drugs to combine and the optimal way to combine them remains a nontrivial task. Herein, we introduce the Multi‐Objective Optimization of
Jana L. Gevertz, Irina Kareva
doaj   +1 more source

Optimal Multi-Object Auctions

open access: yesReview of Economic Studies, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Multi-Objective Optimization of the Cylindrical Grinding Process of SCM440 Steel Using Preference Selection Index Method

open access: yesJournal of Machine Engineering, 2021
This paper presents a study to ensure the minimum value of Ra and Rz, and the maximum value of MRR when external cylindrical grinding by the PSI. The experiments performed according to the orthogonal Taguchi L9 matrix with the input parameters were ...
Dung Hoang Tien   +3 more
doaj   +1 more source

Multi-objective quality diversity optimization

open access: yesProceedings of the Genetic and Evolutionary Computation Conference, 2022
In this work, we consider the problem of Quality-Diversity (QD) optimization with multiple objectives. QD algorithms have been proposed to search for a large collection of both diverse and high-performing solutions instead of a single set of local optima. Thriving for diversity was shown to be useful in many industrial and robotics applications. On the
Pierrot, Thomas   +3 more
openaire   +2 more sources

Comparative Study of Ant Colony Algorithms for Multi-Objective Optimization

open access: yesInformation, 2018
In recent years, when solving MOPs, especially discrete path optimization problems, MOACOs concerning other meta-heuristic algorithms have been used and improved often, and they have become a hot research topic.
Jiaxu Ning   +3 more
doaj   +1 more source

Multi-Objective Optimization of Plastics Thermoforming

open access: yesMathematics, 2021
The practical application of a multi-objective optimization strategy based on evolutionary algorithms was proposed to optimize the plastics thermoforming process. For that purpose, in this work, differently from the other works proposed in the literature,
António Gaspar-Cunha   +5 more
doaj   +1 more source

Multi-Objective Simultaneous Optimistic Optimization [PDF]

open access: yesInformation Sciences, 2018
Optimistic methods have been applied with success to single-objective optimization. Here, we attempt to bridge the gap between optimistic methods and multi-objective optimization. In particular, this paper is concerned with solving black-box multi-objective problems given a finite number of function evaluations and proposes an optimistic approach ...
Abdullah Al-Dujaili, S. Suresh
openaire   +2 more sources

Multi-objective parametric query optimization [PDF]

open access: yesProceedings of the VLDB Endowment, 2014
Classical query optimization compares query plans according to one cost metric and associates each plan with a constant cost value. In this paper, we introduce the Multi-Objective Parametric Query Optimization (MPQ) problem where query plans are compared according to multiple cost metrics and the cost of a given plan according to a given metric is ...
Immanuel Trummer, Christoph Koch
openaire   +1 more source

Multi objective elk herd optimization for efficient structural design

open access: yesScientific Reports
This research presents an advancement of the Elk Herd Optimization targeting specific real-world multi-objective optimization problems, this algorithm is stated as the multi-objective Elk Herd Optimization (MOEHO).
Pinank Patel   +7 more
doaj   +1 more source

Home - About - Disclaimer - Privacy