On generalised convex multi-objective nonsmooth programming [PDF]
AbstractWe extend the concept of V-pseudo-invexity and V-quasi-invexity of multi-objective programming to the case of nonsmooth multi-objective programming problems. The generalised subgradient Kuhn-Tucker conditions are shown to be sufficient for a weak minimum of a multi-objective programming problem under certain assumptions.
Mishra, S. K., Mukherjee, R. N.
openaire +1 more source
Construction of image feature extractors based on multi-objective genetic programming with redundancy regulations [PDF]
This paper proposes a multi-objective genetic programming (MOGP) for automatic construction of feature extraction programs (FEPs). The proposed method is modified from a well known non-dominated sorting evolutionary algorithm, i.e., NSGA-II.
Hiroaki Kudo +9 more
core +1 more source
Hybrid metaheuristics for multi-objective optimization [PDF]
International audienceOver the last two decades, interest on hybrid metaheuristics has risen considerably in the field of multi-objective optimization (MOP).
Talbi, El-Ghazali
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Model Jaringan Distribusi Produk dengan Pendekatan Fuzzy Multi Objective Programming
PT. Semen Padang is one of the cement producers competing to meet the needs of the cement. To that end, PT. Semen Padang must ensure the availability of cement on time, quantity, location and at competitive rates.
Suci Oktri Viarani M Viarani +2 more
doaj +1 more source
Solving stochastic programming problems using new approach to Differential Evolution algorithm
This paper presents a new approach to Differential Evolution algorithm for solving stochastic programming problems, named DESP. The proposed algorithm introduces a new triangular mutation rule based on the convex combination vector of the triangle and ...
Ali Wagdy Mohamed
doaj +1 more source
Designing a Multi-objective Stochastic programming model for portfolio selection [PDF]
In traditional portfolio selection model coefficients often are certain and deterministic, but in real world these coefficients are probabilistic. So decision maker cannot estimate them exactly.
Alireza Sharifisalim +3 more
doaj +1 more source
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
wiley +1 more source
An analytic network process-mixed integer multi-objective programming model for partner selection in agile supply chains [PDF]
This article proposes a two-stage approach, based on the application of an analytic network process-mixed integer multi-objective programming (ANP-MIMOP) model, to solve the problem of partner selection in agile supply chains (ASCs). A key requirement of
Luo, X. +3 more
core +1 more source
Diversity and complexity in neural organoids
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Multi-objective optimization techniques in electricity generation planning [PDF]
The objective of this research is to develop a framework of multi-objective optimization (MOO) models that are better capable of providing decision support on future long-term electricity generation planning (EGP), in the context of insufficient ...
Tuyiragize, Richard, Richard Tuyiragize
core

