Results 41 to 50 of about 1,756,488 (218)
Theory of the hypervolume indicator [PDF]
Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms, 2009 The hypervolume indicator is a set measure used in evolutionary multiobjective optimization to evaluate the performance of search algorithms and to guide the search. Multiobjective evolutionary algorithms using the hypervolume indicator transform multiobjective problems into single objective ones by searching for a finite set of solutions maximizing ...
Auger, Anne +3 more
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A Collaborative Beetle Antennae Search Algorithm Using Memory Based Adaptive Learning
Applied Artificial Intelligence, 2021 Recently developed Beetle Antennae Search algorithm (BAS) mimics the odor sensing mechanism of the longhorn beetles. The beetles have many species and many of these are advantageous to the nature as well as the mankind.
Tamal Ghosh, Kristian Martinsen
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A Many-Objective Marine Predators Algorithm for Solving Many-Objective Optimal Power Flow Problem
Applied Sciences, 2022 Since the increases in electricity demand, environmental awareness, and power reliability requirements, solutions of single-objective optimal power flow (OPF) and multi-objective OPF (MOOPF) (two or three objectives) problems are inadequate for modern ...
Sirote Khunkitti +2 more
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Set-based Multiobjective Fitness Landscapes: A Preliminary Study [PDF]
, 2011 Fitness landscape analysis aims to understand the geometry of a given optimization problem in order to design more efficient search algorithms. However, there is a very little knowledge on the landscape of multiobjective problems. In this work, following
Dhaenens, Clarisse +2 more
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IEEE Access, 2021 Combining classical technologies with modern intelligent algorithms, this paper introduces a new approach for the optimisation and modelling of the EAF-based steel-making process based on a multi-objective optimisation using evolutionary computing and ...
Matheus F. Torquato +3 more
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A test problem for visual investigation of high-dimensional multi-objective search [PDF]
, 2014 An inherent problem in multiobjective optimization is that the visual observation of solution vectors with four or more objectives is infeasible, which brings major difficulties for algorithmic design, examination, and development.
Miqing Li +5 more
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Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization [PDF]
, 2013 The use of surrogate based optimization (SBO) is widely spread in engineering design to reduce the number of computational expensive simulations. However, "real-world" problems often consist of multiple, conflicting objectives leading to a set of ...
Couckuyt, Ivo +2 more
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An Improvement Study of the Decomposition-based Algorithm Global WASF-GA for Evolutionary Multiobjective Optimization [PDF]
, 2018 The convergence and the diversity of the decompositionbased evolutionary algorithm Global WASF-GA (GWASF-GA) relies on a set of weight vectors that determine the search directions for new non-dominated solutions in the objective space.
AP Wierzbicki +6 more
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An approach based on genetic algorithms and neural networks for QoS-aware IoT services composition
Journal of King Saud University: Computer and Information Sciences, 2022 In the Internet of Things (IoT) environment, the services provided by the connected objects are published as services through the web. This allows to machines to interact between them and, makes the IoT services composition possible.
Rabah Boucetti +2 more
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A Convergence indicator for Multi-Objective Optimisation Algorithms [PDF]
, 2018 The algorithms of multi-objective optimisation had a relative growth in the last years. Thereby, it's requires some way of comparing the results of these. In this sense, performance measures play a key role. In general, it's considered some properties of
Santos, Thiago, Xavier, Sebastiao
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