Results 51 to 60 of about 1,756,488 (218)

Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms

, 2019
In the field of multi-objective optimization algorithms, multi-objective Bayesian Global Optimization (MOBGO) is an important branch, in addition to evolutionary multi-objective optimization algorithms (EMOAs).
Bäck, Thomas, Deutz, André, Emmerich, Michael, Yang, Kaifeng   +3 more
core   +1 more source

Metaheuristic approaches for optimal broadcasting design in metropolitan MANETs [PDF]

, 2007
11th International Conference on Computer Aided Systems Theory. Las Palmas de Gran Canaria, Spain, February 12-16, 2007Mobile Ad-hoc Networks (MANETs) are composed of a set of communicating devices which are able to spontaneously interconnect without any
Alba, Enrique, Cervantes, Alejandro, Gómez-Pulido, Juan A., Isasi, Pedro, Jaraíz, M.D., León, Coromoto, Luna, Francisco, Luque del Arco Calderón, Cristobal, Miranda, Gara, Nebro, Antonio J., Pérez, Ramón, Segura, Carlos   +11 more
core   +2 more sources

Bringing Order to Special Cases of Klee's Measure Problem [PDF]

, 2013
Klee's Measure Problem (KMP) asks for the volume of the union of n axis-aligned boxes in d-space. Omitting logarithmic factors, the best algorithm has runtime O*(n^{d/2}) [Overmars,Yap'91].
C. Igel, D. Lokshtanov, E. Zitzler, E. Zitzler, H. Yıldız, J. Leeuwen van, J.-D. Boissonnat, K. Bringmann, K. Bringmann, M.H. Overmars, M.L. Fredman, N. Beume, N. Beume, P.K. Agarwal, T.M. Chan, T.M. Chan, V. Klee   +16 more
core   +1 more source

Novel Algorithm to Calculate Hypervolume Indicator of Pareto Approximation Set [PDF]

, 2007
9 pages, 2 figures.
Yang, Qing, Ding, Shengchao
openaire   +2 more sources

Multi-criteria vehicle routing problem for a real-life parcel locker-based delivery [PDF]

International Journal of Electronics and Telecommunications
In this paper, a multi-criteria Vehicle Routing Problem with distance and capacity constraints for modeling a delivery system with parcel locker, is considered. The problem is formulated and two optimization criteria are defined.
Radosław Idzikowski, Jarosław Rudy, Michał Jaroszczuk   +2 more
doaj   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

An Improved Dimension-Sweep Algorithm for the Hypervolume Indicator

2006 IEEE International Conference on Evolutionary Computation, 2006
This paper presents a recursive, dimension-sweep algorithm for computing the hypervolume indicator of the quality of a set of n non-dominated points in d > 2 dimensions. It improves upon the existing HSO (Hypervolume by Slicing Objectives) algorithm by pruning the recursion tree to avoid repeated dominance checks and the recalculation of partial ...
Fonseca, Carlos M., Paquete, Luis, López-Ibáñez, Manuel   +2 more
openaire   +2 more sources

Scalarizing Functions in Bayesian Multiobjective Optimization [PDF]

, 2019
Scalarizing functions have been widely used to convert a multiobjective optimization problem into a single objective optimization problem. However, their use in solving (computationally) expensive multi- and many-objective optimization problems in ...
Chugh, Tinkle
core   +2 more sources

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

Gradient-enhanced evolutionary multi-objective optimization (GEEMOO): Balancing relevance, learning outcomes, and diversity in educational recommendation systems

Intelligent Systems with Applications
The increasing complexity of educational recommendation systems, driven by the need to balance content relevance, learning outcomes, and diversity, demands advanced optimization solutions that overcome the limitations of traditional methods.
Youssef Jdidou, Souhaib Aammou, Hicham Er-radi, Ilias Aarab   +3 more
doaj   +1 more source