Decision support for build-to-order supply chain management through multiobjective optimization [PDF]
, 2012 This is the post-print version of the final paper published in International Journal of Production Economics. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections,
Askariazad, MH, Gallear, D, Mansouri, SA
core +1 more source
The Scientific World Journal, 2014 A novel hybrid multiobjective algorithm is presented in this paper, which combines a new multiobjective estimation of distribution algorithm, an efficient local searcher and ε-dominance.
Kaifeng Yang +5 more
doaj +1 more source
A modified migration model biogeography evolutionary approach for electromagnetic device multiobjective optimization [PDF]
, 2014 Inthispaper, we present anefficient androbust algorithm for multiobjective optimization of electromagnetic devices.Therecentlydeveloped biogeography-based optimization (BBO) is modified byadapting its migration model function so as to improve its ...
Dupré, Luc +2 more
core
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
core +4 more sources
A dynamic gradient approach to Pareto optimization with nonsmooth convex objective functions
, 2014 In a general Hilbert framework, we consider continuous gradient-like dynamical systems for constrained multiobjective optimization involving non-smooth convex objective functions.
Attouch, Hedy +2 more
core +1 more source
Optimal advertising campaign generation for multiple brands using MOGA [PDF]
, 2007 The paper proposes a new modified multiobjective genetic algorithm (MOGA) for the problem of optimal television (TV) advertising campaign generation for multiple brands. This NP-hard combinatorial optimization problem with numerous constraints is one of
Fleming, P.J., Pashkevich, M.A.
core +1 more source
Multiobjective Evolutionary Topology Optimization Algorithm Using Quadtree Encoding
IEEE AccessA multiobjective high-degree-of-freedom design optimization algorithm that enables topological changes in design is proposed for multiobjective aerodynamic design optimization. In this method, a design is encoded using a regional quadtree, which is often
Naruhiko Nimura, Akira Oyama
doaj +1 more source
Science and Technology of Nuclear Installations, 2019 A modified multiobjective self-adaptive differential evolution algorithm (MMOSADE) is presented in this paper to improve the accuracy of multiobjective optimization design in the nuclear power system.
Yunjia Yang +6 more
doaj +1 more source
Combination of Evolutionary Algorithms with Experimental Design, Traditional Optimization and Machine Learning [PDF]
, 2016 Evolutionary algorithms alone cannot solve optimization problems very efficiently since there are many random (not very rational) decisions in these algorithms.
Zhang, Qingfu
core
Multiobjective Optimization Method for Energy-Saving Design of Green Buildings
Advances in Civil EngineeringA multiobjective optimization model for energy-saving design of green buildings is established by considering the two key indicators (energy efficiency and comfort) that are important for the design of green buildings.
Yuanting Yang, Fengxiang Lu, Lan Qing
doaj +1 more source