Results 41 to 50 of about 593,180 (241)
A New Approach to Solve Multiple Objective Programming Problems
International Journal of Industrial Engineering and Production Research, 2009 Multiple Objective Programming (MOP) problems have become famous among many researchers due to more practical and realistic implementations. There have been a lot of methods proposed especially during the past four decades.
Mahmood Rezaei Sadrabadi +1 more
doaj
Evolutionary Game Theory in Multi-Objective Optimization Problem [PDF]
International Journal of Computational Intelligence Systems, 2010 Multi-objective optimization focuses on simultaneous optimization of multiple targets. Evolutionary game theory transforms the optimization problem into game strategic problem and using adaptable dynamic game evolution process intelligently obtains the ...
Maozhu Jin, Xia Lei, Jian Du
doaj +1 more source
A Field Guide to Genetic Programming [PDF]
, 2008 xiv, 233 p. : il. ; 23 cm.Libro ElectrónicoA Field Guide to Genetic Programming (ISBN 978-1-4092-0073-4) is an introduction to genetic programming (GP).
Langdon, William B. +2 more
core
A distributionally robust perspective on uncertainty quantification and chance constrained programming [PDF]
, 2015 The objective of uncertainty quantification is to certify that a given physical, engineering or economic system satisfies multiple safety conditions with high probability.
Hanasusanto, GA +3 more
core +1 more source
Defining Roles in Pediatric Palliative Care: Perspectives From Oncology and Palliative Care Teams
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Early integration of pediatric palliative care (PPC) is associated with improved symptom management, quality of life, and healthcare utilization for children with cancer. Despite this, variation persists in how PPC is understood, operationalized, and integrated within pediatric oncology programs. In particular, ambiguity surrounding
Leeat Granek +13 more
wiley +1 more source
Two simple ways to find an efficient solution for a multiple objective linear programming problem
Buletinul Ştiinţific al Academiei Trupelor de Uscat, 2018 A number of methods and techniques for determining “effective” solutions for multiple objective linear programming problems (MPP) have been developed. In this study, we will present two simple methods for determining an efficient solution for a MPP that ...
Căruțașu Vasile
doaj +1 more source
A weight space-based approach to fuzzy multiple-objective linear programming [PDF]
, 1988 In this paper, the effects of uncertainty on multiple-objective linear programming models are studied using the concepts of fuzzy set theory. The proposed interactive decision support system is based on the interactive exploration of the weight space ...
Borges, Ana Rosa +1 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Blinatumomab is a bispecific T‐cell engager approved for the treatment of pediatric B‐cell acute lymphoblastic leukemia (B‐ALL). Outpatient home infusion reduces hospitalization burden and optimizes resource utilization, but is logistically challenging.
Angela Parra del Riego +10 more
wiley +1 more source
Multiple Objective Programming Involving Differentiable (Hp, r)-invex Functions
Cubo, 2011 In this paper, we introduce new types of generalized convex functions which include locally (Hp, r)-pre-invex functions and (Hp, r)-invex functions. Relationship between these two new classes of functions are established.
Xiaoling Liu +4 more
doaj
Knapsack Balancing via Multiobjectivization
Applied SciencesIn this paper, we address the aspect of knapsack balancing in the classic knapsack problem. Recognizing that excessive dispersion in the objective function or constraint coefficients of the optimal solution can be undesirable, we propose, when ...
Ignacy Kaliszewski, Janusz Miroforidis
doaj +1 more source