Results 21 to 30 of about 6,112,119 (319)
Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective optimization problems. [PDF]
, 2006 We propose a sequential interactive genetic algorithm (IGA), multi-objective IGA and parallel IGA, and evaluate them with both simulated and real users.
Ramsden, Jeremy +10 more
core +1 more source
IET Smart Grid, 2022 Residential buildings are large consumers of energy. They contribute significantly to the demand placed on the grid, particularly during hours of peak demand.
Junlin Lu, Patrick Mannion, Karl Mason
doaj +1 more source
Autonomous Multi‐Step and Multi‐Objective Optimization Facilitated by Real‐Time Process Analytics
Advanced Science, 2022 Autonomous flow reactors are becoming increasingly utilized in the synthesis of organic compounds, yet the complexity of the chemical reactions and analytical methods remains limited.
Peter Sagmeister +7 more
doaj +1 more source
Multi-object Grasping in the Plane
, 2023 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
openaire +4 more sources
Multi-objective optimisation of web business processes [PDF]
, 2010 This paper proposes an approach for the optimisation of web business processes using multi-objective evolutionary computing. Business process optimisation is considered as the problem of constructing feasible business process designs with optimum ...
Tiwari, Ashutosh +7 more
core +1 more source
Multi-objects interpretation [PDF]
Proceedings of 13th International Conference on Pattern Recognition, 1996 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 ...
openaire +1 more source
Multi‐objective optimisation of the HSPMM rotor based on the multi‐physics surrogate model
IET Electric Power Applications, 2021 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 Archiving [PDF]
IEEE Transactions on Evolutionary ComputationMost 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
openaire +2 more sources
Multi-objective Weighted Sampling [PDF]
2015 Third IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb), 2015 14 pages; full version of a HotWeb 2015 ...
openaire +2 more sources
, 2022 In this work, a new multi-objective optimization algorithm called multi-objective learner performance-based behavior algorithm is proposed. The proposed algorithm is based on the process of moving graduated students from high school to college.
Mirjalili, S +3 more
core +1 more source