Results 31 to 40 of about 8,528 (188)
Towards efficient multiobjective optimization: multiobjective statistical criterions [PDF]
, 2012 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
core +2 more sources
Model‐based hypervolumes for complex ecological data [PDF]
Ecology, 2019 AbstractDeveloping a holistic understanding of the ecosystem impacts of global change requires methods that can quantify the interactions among multiple response variables. One approach is to generate high dimensional spaces, or hypervolumes, to answer ecological questions in a multivariate context.
Jarvis, Susan G. +5 more
openaire +3 more sources
A many-objective Jaya algorithm for many-objective optimization problems [PDF]
Decision Science Letters, 2018 The proposed work presents the design and application of many-objective Jaya (MaOJaya) algorithm to optimize many-objective benchmark optimization problems.
Sandeep U. Mane +2 more
doaj +1 more source
A constrained multi-objective surrogate-based optimization algorithm [PDF]
, 2014 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
Insects, 2023 Phenotypic plasticity can favor the emergence of different morphotypes specialized in specific ranges of environmental conditions. The existence of intraspecific partitioning confers resilience at the species scale and can ultimately determine species ...
Diane Espel +5 more
doaj +1 more source
Learning Choice Functions: Concepts and Architectures [PDF]
, 2019 We study the problem of learning choice functions, which play an important role in various domains of application, most notably in the field of economics.
Gupta, Pritha +3 more
core +2 more sources
A Fast Incremental Hypervolume Algorithm [PDF]
IEEE Transactions on Evolutionary Computation, 2008 When hypervolume is used as part of the selection or archiving process in a multiobjective evolutionary algorithm, it is necessary to determine which solutions contribute the least hypervolume to a front. Little focus has been placed on algorithms that quickly determine these solutions and there are no fast algorithms designed specifically for this ...
L. Bradstreet, L. While, L. Barone
openaire +1 more source
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning [PDF]
, 2013 Parameter tuning is recognized today as a crucial ingredient when tackling an optimization problem. Several meta-optimization methods have been proposed to find the best parameter set for a given optimization algorithm and (set of) problem instances ...
Dréo, Johann +4 more
core +3 more sources
Uncrowded hypervolume improvement [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference, 2019 We present a framework to build a multiobjective algorithm from single-objective ones. This framework addresses the $p \times n$-dimensional problem of finding p solutions in an n-dimensional search space, maximizing an indicator by dynamic subspace optimization.
Touré, Cheikh +3 more
openaire +2 more sources
Variation in Pheidole nodus (Hymenoptera: Formicidae) functional morphology across urban parks [PDF]
PeerJ, 2023 Background Habitat fragmentation and consequent population isolation in urban areas can impose significant selection pressures on individuals and species confined to urban islands, such as parks.
Yi Luo +5 more
doaj +2 more sources