Results 81 to 90 of about 132,617 (313)
Multi-Objective Gene Expression Programming for Clustering
Information Technology And Control, 2012 This paper proposes a multi-objective gene expression programming for clustering (MGEPC), which could automatically determine the number of clusters and the appropriate partitioning from the data set. The clustering algebraic operations of gene expression programming are extended first.
Yifei Zheng, Lixin Jia, Hui Cao 0003
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Astrocyte heterogeneity in brain metastases
Molecular Oncology, EarlyView.Astrocytes emerge as pivotal regulators of metastatic colonization, survival, immune remodeling, and therapy response associated with an increasing heterogeneity that requires spatially and longitudinally resolved approaches to uncover regulatory programs and guide context‐specific therapies.
Carolina Hernández‐Oliver +2 more
wiley +1 more source
A Multi-Objective Optimization Approach for Multi-Head Beam-Type Placement Machines [PDF]
This paper addresses a highly challenging scheduling problem in the field of printed circuit board (PCB) assembly systems using Surface Mounting Devices (SMD).
Ashayeri, J., Hamedi, M., Torabi, S.A.
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From tumor‐centric to ecosystem‐based hypotheses in brain tumor research and care
Molecular Oncology, EarlyView.Primary brain tumors, whether in adults or children, present a major challenge because of their dramatic prognosis and the ongoing lack of efficient therapeutic approaches. In recent years, a shift has occurred from tumor‐centric concepts to a more holistic view of these tumors as dynamic ecosystems.
Julie Gavard +8 more
wiley +1 more source
Fuzzy Multi-objective Linear Programming Approach [PDF]
, 2007 Traveling salesman problem (TSP) is one of the challenging real-life problems, attracting researchers of many fields including Artificial Intelligence, Operations Research, and Algorithm Design and Analysis.
Cheema, Muhammad Shahzad +2 more
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Taylor Series Approximation to Solve Neutrosophic Multiobjective Programming Problem [PDF]
Neutrosophic Sets and Systems, 2015 In this paper, Taylor series is used to solve neutrosophic multi-objective programming problem (NMOPP). In the proposed approach, the truth membership, Indeterminacy membership, falsity membership functions associated with each objective of multi ...
Ibrahim M. Hezam +2 more
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FEBS Open Bio, EarlyView.Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani +6 more
wiley +1 more source
NEUTROSOPHIC MULTI-OBJECTIVE LINEAR PROGRAMMING [PDF]
, 2016 For modeling imprecise and indeterminate data for multi-objective decision making, two different methods: neutrosophic multi-objective linear/non-linear programming neutrosophic goal programming, which have been very recently proposed in the literatuire.
Surapati Pramanik*
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APPLICATION OF A PRIMAL-DUAL INTERIOR POINT ALGORITHM USING EXACT SECOND ORDER INFORMATION WITH A NOVEL NON-MONOTONE LINE SEARCH METHOD TO GENERALLY CONSTRAINED MINIMAX OPTIMISATION PROBLEMS [PDF]
Journal of Engineering Science and Technology, 2008 This work presents the application of a primal-dual interior point method to minimax optimisation problems. The algorithm differs significantly from previous approaches as it involves a novel non-monotone line search procedure, which is based on the use ...
INTAN S. AHMAD, VASSILIOS S. VASSILIDIS
doaj
Inverse optimization for multi-objective linear programming
Optimization Letters, 2019 This paper generalizes inverse optimization for multi-objective linear programming where we are looking for the least problem modifications to make a given feasible solution a weak efficient solution. This is a natural extension of inverse optimization for single-objective linear programming with regular "optimality" replaced by the "Pareto optimality".
Mostafa Naghavi +2 more
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