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An Exemplary Case Study of Post-WWII Reconstruction in Milan
The paper deals with the use of proportional systems in architecture applied to the case study of the “modern” reconstruction of a fifteenth-century...
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Multi-objective outpatient scheduling in health centers considering resource constraints and service quality: a robust optimization approach
Hospitals are among the largest and most sophisticated service organizations and the most critical service delivery units in the health system. Due...
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The Jeffreys–Lindley paradox: an exchange
This Editorial reports an exchange in form of a comment and reply on the article “History and Nature of the Jeffreys–Lindley Paradox” (Arch Hist...
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Weak-strong uniqueness for three dimensional incompressible active liquid crystals
The hydrodynamics of active liquid crystal models has attracted much attention in recent years due to many applications of these models. In this...
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A Multi-Period Constrained Multi-Objective Evolutionary Algorithm with Orthogonal Learning for Solving the Complex Carbon Neutral Stock Portfolio Optimization Model
Financial market has systemic complexity and uncertainty. For investors, return and risk often coexist. How to rationally allocate funds into...
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T. E. Peet, a Mathematician Among Egyptologists?
During the 1920s, the study of ancient Egyptian mathematics was particularly vigorous, with the emergence of new sources, and new editions of old...
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Several Properties of the Model Solution after Data Assimilation into the NEMO Ocean Circulation Model
AbstractSeveral characteristics and their dynamics, in particular, sea surface temperature simulated by the ocean circulation model of Nucleus for...
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The Geometric Patterns of İzzettin Keykavus Tomb
The Islamic architectural heritage permits us to understand the formation and development of geometric patterns. Many techniques are used to express...
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DNA Computing Based Multi-objective Genetic Algorithm
In this chapter, DNA computing based non-dominated sorting genetic algorithm is described for solving the multi-objective optimization problems....
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A two-phase hybrid evolutionary algorithm for solving the bi-objective scheduling multiprocessor tasks on two dedicated processors
In this paper, we solve the bi-objective scheduling problem on two dedicated processors, an NP-Hard combinatorial optimization problem with a hybrid...
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Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing
Research in assembly optimisation is presently inclined towards integrative measures. Several benefits of simultaneously optimised Assembly Sequence...
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Stoic Sign-Inference and Their Lore of Fate
The Stoics are traditionally regarded as the founders of propositional logic. However, this is not entirely correct. They developed a theory of...
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Eigenvectors from eigenvalues: the case of one-dimensional Schrödinger operators
We revisit an archive submission by Denton et al. (Eigenvectors from eigenvalues: a survey of a basic identity in linear algebra.
ar**v:1908.03795v3 ... -
Whose Conjecture Did Van der Waerden Prove? Two Lives Between Two Wars: Issai Schur and Pierre Joseph Henry Baudet
Bartel L. van der Waerden credits “Baudet” [sic] with conjecturing the result about monochromatic arithmetic progressions. Decades later, Van der...
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A novel multi-objective quantum particle swarm algorithm for suspension optimization
In this paper, a novel multi-objective archive-based Quantum Particle Optimizer (MOQPSO) is proposed for solving suspension optimization problems....
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Numerical Modeling of Ocean Dynamics Using the NEMO Model with Data Assimilation Using a Generalized Kalman Filter
AbstractA study is performed of the spatiotemporal variability of the parameters of the Nucleus Model of Ocean Circulation for European Modeling of...
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A Parametric Model for Designing Swallow Roofs of Anatolia
This paper presents a parametric model to design five different types of Anatolian swallow roofs (SR) that help designers create complex designs by...
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Column generation based solution for bi-objective gate assignment problems
In this paper, we present a column generation-based algorithm for the bi-objective gate assignment problem (GAP) to generate gate schedules that...
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