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In recent years, generative artificial intelligence represented by large language models (LLMs) and multimodal large language models (MLLMs) has achieved remarkable progress. These ultra-large-scale and complex models im...

Abstract The growing deployment of grid-connected voltage source inverters (GC-VSIs) in the smart grids poses some significant issues that include harmonic distortion, grid impedance fluctuations, nonlinear loading, and ...

The differences between the concepts of “tax planning”, “tax minimization” and “tax optimization” are investigated and it is established that tax minimization is the maximum reduction of all taxes, tax optimi...

The production of furfural and pectin extraction from brewer's spent grain (BSG) and grape marc (GM) represents a sustainable strategy for valorizing agro-industrial residues either through the recovery or the transforma...

Abstract In this paper, we have developed a new formula which is more suitable to the Barrier function and we have also investigated a new hybrid algorithm of SD and VM formulas with exact line search in the field of no...

Abstract In order to improve the operation efficiency and impact resistance of the robotic arm in unstructured environments such as orchards, this paper proposes an online trajectory planning method for multi-index compr...

In this work, a Mixed-Integer Linear Programming (MILP) model for daily routing of trucks in forest industry is presented. The aim is to generate truck routes at minimum cost, while logs supply is guaranteed. Models usua...

Abstract The Broad Learning System (BLS) provides an effective framework for nonlinear mapping, offering advantages over traditional deep neural networks through its expanded input node architecture. While BLS has demons...

Abstract In this work, a new method employs Bioinspired Computational (BIC) optimization from the genetic algorithm, bat algorithm, and flower pollination algorithm. Robust and accurate modeling of the input parameters a...

The high population growth rate, the accelerated industrialization and unpredictability of oil prices in the world have considerably raised the energy demand which has enhanced the necessity of alternative and sustainabl...

BackgroundHeterozygous STAT3 protein variants acting by dominant-negative (DN), gain-of-function (GOF), or haploinsufficiency (HI) mechanisms have been associated with different clinical/immunological phenotypes. However...

The aim of this work is to create the scientific foundations of microwave extractors implementing the effect of mechanodiffusion discovered by the authors, as well as visual, kinetic, and energy substantiation of the fun...

The Qinghai–Tibetan Plateau (QTP) is a critical ecological security barrier for China, playing an indispensable role in ecosystem services (ESs). However, comprehensive assessments of the ecological barrier functions o...

The portfolio optimization problem is a mathematical and financial decision-making method that aims to achieve an optimal trade-off between financial risk and return. This paper presents the first application of the nove...

Abstract While multi-access edge computing (MEC) enables flexible task offloading, the inherent dynamism and complexity of real-world environments, accompanied by various uncertainties, exacerbate the challenges in offlo...

ABSTRACT: In recent years, the use of computing has increased along with medical skills, and this had impressive results in terms of classification and treatment, in addition to facilitating the matter of medical personn...

Abstract Multi-level inverters (MLIs) are also used in relatively high-power systems; but the goals of low overall harmonic distortion (THD) and fewer power semiconductor devices remain a design issue of serious difficul...

The present study focused on the evaluation of critical influencing parameters of the FSW of AA6061-T6 and AA2024-T351 alloys. The materials properties of AA6061-T6 are heat-treatable alloys possessing properties of good...

From the Publisher: This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic al...

1. Introduction and Preview 2. Generalized Gradients 3. Differential Inclusions 4. The Calculus of Variations 5. Optimal Control 6. Mathematical Programming 7. Topics in Analysis.

Our interest is to define evolutionary algorithms to solve Constraint Satisfaction Problems (CSP), which indlude benefits of taditional resolution methods of CSPs as well as inherent characteristics of these kind of prob...

Multi-objective evolutionary algorithms (MOEAs) that use non-dominated sorting and sharing have been criticized mainly for: (1) their O(MN/sup 3/) computational complexity (where M is the number of objectives and N is th...

This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a mut...

"This master thesis presents an operational strategy for a microgrid-connected wayside energy storage device within a light rail application. This strategy is based on a mixedinteger linear program optimization formulate...