Results 31 to 40 of about 815,587 (296)
Hybrid behavioural-based multi-objective space trajectory optimization [PDF]
In this chapter we present a hybridization of a stochastic based search approach for multi-objective optimization with a deterministic domain decomposition of the solution space.
Vasile, Massimiliano
core +1 more source
Multi-objective non-linear programming problem based on Neutrosophic Optimization Technique and its application in Riser Design Problem [PDF]
Neutrosophic set is a part of neutrosophy which studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra.
Pintu Das, Tapan Kumar Roy
doaj
Techniques of Finding Lower Bounds in Multi Objective Functions [PDF]
In this paper, the problm of sequencing n jobs on one machine is considered with a multi objective function.Two problems have been studied, sum of completion times added with the maximum tardiness () and sum of completion times with the maximum tardiness
Ayad Ramadhan, Adil Jabbar
doaj +1 more source
A Flair for Multi-Object Spectroscopy [PDF]
Unique in the regime of wide-field astronomy is the multi-object spectroscopy system ‘FLAIR’ developed for the UK Schmidt Telescope (UKST). The current system can perform simultaneous observations of ∼ 90 objects across 40 sq. degrees of sky.
Watson, FG, Parker, QA
openaire +2 more sources
Multi Objective Simulated Annealing Approach for Facility Layout Design [PDF]
Facility layout design problem considers the departments’ physcial layout design with area requirements in some restrictions such as material handling costs, remoteness and distance requests.
Safiye Turgay
doaj +1 more source
Efficiency in Multi-objective Games
In a multi-objective game, each agent individually evaluates each overall action-profile on multiple objectives. I generalize the price of anarchy to multi-objective games and provide a polynomial-time algorithm to assess it.
AX Jiang +17 more
core +1 more source
A constrained multi-objective surrogate-based optimization algorithm [PDF]
Surrogate models or metamodels are widely used in the realm of engineering for design optimization to minimize the number of computationally expensive simulations.
Couckuyt, Ivo +3 more
core +1 more source
Meta learning with multiple objectives can be formulated as a Multi-Objective Bi-Level optimization Problem (MOBLP) where the upper-level subproblem is to solve several possible conflicting targets for the meta learner. However, existing studies either apply an inefficient evolutionary algorithm or linearly combine multiple objectives as a single ...
Feiyang Ye 0001 +5 more
openaire +3 more sources
Multi-Objective Counterfactual Explanations [PDF]
Counterfactual explanations are one of the most popular methods to make predictions of black box machine learning models interpretable by providing explanations in the form of `what-if scenarios'. Most current approaches optimize a collapsed, weighted sum of multiple objectives, which are naturally difficult to balance a-priori.
Susanne Dandl +3 more
openaire +2 more sources
A triple‐objective optimal design method for AC filters in high voltage direct current (HVDC) system based on an improved multi‐objective evolutionary algorithm based on decomposition (MOEA/D) is proposed.
Fan Shi +4 more
doaj +1 more source

