Results 11 to 20 of about 815,587 (296)
We study the problem of generating diverse candidates in the context of Multi-Objective Optimization. In many applications of machine learning such as drug discovery and material design, the goal is to generate candidates which simultaneously optimize a set of potentially conflicting objectives.
Moksh Jain +6 more
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Multi-objective congestion control
Decades of research on Internet congestion control (CC) has produced a plethora of algorithms that optimize for different performance objectives. Applications face the challenge of choosing the most suitable algorithm based on their needs, and it takes tremendous efforts and expertise to customize CC algorithms when new demands emerge.
Yiqing Ma +6 more
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Multi-object Grasping in the Plane
We consider a novel problem where multiple rigid convex polygonal objects rest in randomly placed positions and orientations on a planar surface visible from an overhead camera. The objective is to efficiently grasp and transport all objects into a bin using multi-object push-grasps, where multiple objects are pushed together to facilitate multi-object
Wisdom C. Agboh +3 more
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Multi-objects interpretation [PDF]
We describe a general-purpose method for the accurate and robust interpretation of a data set of p-dimensional points by several deformable prototypes. This method is based on the fusion of two algorithms: a generalization of the iterative closest point (GICP) to different types of deformations for registration purposes, and a fuzzy clustering ...
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Multi‐objective optimisation of the HSPMM rotor based on the multi‐physics surrogate model
High‐speed permanent magnetic machine (HSPMM) is attracting more attention due to its high power density, compact size, small rotating inertia, and rapid response capability.
Rui Dai +5 more
doaj +1 more source
Multi‐objective optimization for facilities management
The main point of this article is to present in a short text all aspects of Multi ‐ Objective Optimization for Facilities Management, so to say from the cradle until the grave.
Willem K. Brauers
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Evolutionary Multi–Objective Weather Routing of Sailboats
The paper presents a multi-objective method, which optimises the route of a sailboat. The presented method makes use of an evolutionary multi-objective (EMO) algorithm, which performs the optimisation according to three objective functions: total passage
Sobecka Ewa +2 more
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Multi-Objective Archiving [PDF]
Most multi-objective optimisation algorithms maintain an archive explicitly or implicitly during their search. Such an archive can be solely used to store high-quality solutions presented to the decision maker, but in many cases may participate in the search process (e.g., as the population in evolutionary computation).
Miqing Li +2 more
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On Solutions of Possibilistic Multi- objective Quadratic Programming Problems [PDF]
In this paper, a multi- objective quadratic programming (Poss- MOQP) problem with possibilistic variables coefficients matrix in the objective functions is studied.
Hamiden Khalifa
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Multi-objective routing optimization using evolutionary algorithms [PDF]
Wireless ad hoc networks suffer from several limitations, such as routing failures, potentially excessive bandwidth requirements, computational constraints and limited storage capability. Their routing strategy plays a significant role in determining the
Cheung, Kent Tsz Kan +2 more
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