Perceive Influence of Third-Party Logistics (3PL) Customer Satisfction Indicators and the Company’s Financial Performance by Mohamad Husaini, Badrul Zamin, Norazidah, Shamsudin, Puteri Fadzline, Muhamad Tamyez, Mohd Ghazali, Maarof

“…A company who looks for 3PL service or also acknowledged as contract logistic service believes on the competitive advantage offered such as resource network of expertise management, cost and time effective, scalability and flexibility and continuous optimization. This research been conducted to study the perceive influence of 3PL customer satisfaction indicators that are represent by service quality, organizational effectiveness and relationship management of companies who implement 3PL service in relation to their financial performance. …”
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Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems by Din, Fakhrud, Khalid, Shah, Fayaz, Muhammad, Gwak, Jeonghwan, Kamal Z., Zamli, Mashwani, Wali Khan

“…Analysis and comparison of the obtained results indicate the efficiency and competitiveness of the proposed algorithm in addressing unconstrained continuous optimization tasks.…”
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A Novel Meta-Heuristic Algorithm for Numerical and Engineering Optimization Problems: Piranha Foraging Optimization Algorithm (PFOA) by Shuai Cao, Qian Qian, Yongjun Cao, Wenwei Li, Weixi Huang, Jianan Liang

“…This paper provides a novel meta-heuristic optimization algorithm for solving continuous optimization problems efficiently in the field of numerical and engineering optimization: Piranha Foraging Optimization Algorithm (PFOA). …”
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An Effective Power Dispatch of Photovoltaic Generators in DC Networks via the Antlion Optimizer by Luis Fernando Grisales-Noreña, Andrés Alfonso Rosales-Muñoz, Oscar Danilo Montoya

“…As comparison methods, five continuous optimization methods were used which were proposed in the specialized literature to solve optimal power flow problems in DC grids: the crow search algorithm, the particle swarm optimization algorithm, the multiverse optimization algorithm, the salp swarm algorithm, and the vortex search algorithm. …”
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An effective method for global optimization – Improved slime mould algorithm combine multiple strategies by Wenqing Xiong, Donglin Zhu, Rui Li, Yilin Yao, Changjun Zhou, Shi Cheng

“…These operations facilitate the algorithm's ability to escape local optima and ensure continuous optimization. To validate the applicability of EISMA, we numerically test it on 39 benchmark functions from CEC2013 and CEC2017 and compare its performance with SMA, as well as 7 modified, 5 standard and 4 classic stochastic search algorithms. …”
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Mathematical modeling of the microtubule detyrosination/tyrosination cycle for cell-based drug screening design by Jeremy Grignard, Véronique Lamamy, Eva Vermersch, Philippe Delagrange, Jean-Philippe Stephan, Thierry Dorval, François Fages

“…That mathematical model is parameterized, firstly, for neuronal cells using kinetic values taken from the literature, and, secondly, for proliferative cells, by a change of two parameter values obtained, and shown minimal, by a continuous optimization procedure based on temporal logic constraints to formalize experimental high-content imaging data. …”
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Status, trends and enlightenment of global oil and gas development in 2021 by Zuoqian WANG, Zifei FAN, Xingyang ZHANG, Baolei LIU, Xi CHEN

“…On this basis, the four aspects of enlightenment and suggestions for international oil and gas cooperation and development strategies are put forward: attach great importance to the obligation of marine abandonment to ensure high-quality and long-term benefit development of offshore oil and gas; adhere to the principle of not going to dangerous and chaotic places, strengthen the concentration of oil and gas assets, and establish multi stable supply bases; based on the multi-scenario demand of natural gas, realize the transformation from integrated collaboration to full oil and gas industry chain development; increase the acquisition of high-quality large-scale assets, and pay attention to the continuous optimization of the shareholding ratio of projects at different stages.…”
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Serious Game for the Screening of Central Auditory Processing Disorder in School-Age Children: Development and Validation Study by Ana-Marta Gabaldón-Pérez, María Dolón-Poza, Martina Eckert, Nuria Máximo-Bocanegra, María-Luisa Martín-Ruiz, Iván Pau De La Cruz

“…Moreover, the set of PM techniques provides a reliable source of information regarding the playability and usability of the solution to the development team, allowing its continuous optimization.…”
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Review of bio-inspired optimization applications in renewable-powered smart grids: Emerging population-based metaheuristics by Cristina Bianca Pop, Tudor Cioara, Ionut Anghel, Marcel Antal, Viorica Rozina Chifu, Claudia Antal, Ioan Salomie

“…The management of renewable-powered smart grids deals with nonlinear optimization problems featuring a variety of linear or nonlinear constraints, discrete or continuous optimization variables, involving high dimensionality of the solution space, and strict time requirements to identify the optimal or near-optimal solution. …”
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Mutational Slime Mould Algorithm for Gene Selection by Feng Qiu, Pan Zheng, Ali Asghar Heidari, Guoxi Liang, Huiling Chen, Faten Khalid Karim, Hela Elmannai, Haiping Lin

“…Then, the transfer function converts the continuous optimizer into a binary version to solve the gene selection problem. …”
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Structure–Activity Relationship of RGD-Containing Cyclic Octapeptide and αvβ3 Integrin Allows for Rapid Identification of a New Peptide Antagonist by Aaron Silva, Wenwu Xiao, Yan Wang, Wei Wang, Heng Wei Chang, James B. Ames, Kit S. Lam, Yonghong Zhang

“…A consistency within the results of both methods was found, leading to the continuous optimization and testing of LXW mutants via in silico screening. …”
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Occurrence law and classification prevention of rock burst in coal mines of Shaanxi Province by Junfeng PAN, Shaohong LIU, Wentao MA, Yongxue XIA, Shuwen WANG, Meihua FENG

“…In response to the main controlling factors, prevention and control methods for weakening hard roof, transferring high concentrated stress of coal pillar, and releasing structural stress are proposed.Through 10 years of engineering practice, continuous optimization of mine mining design, exploration of new fracturing technologies for drilling areas along the thick and hard roof of coal seams, and increased implementation of anti burst and pressure relief technologies, the occurrence of rock burst has been decreasing year by year, with significant achievements.…”
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B-PSA: A Binary Pendulum Search Algorithm for the Feature Selection Problem by Broderick Crawford, Felipe Cisternas-Caneo, Katherine Sepúlveda, Ricardo Soto, Álex Paz, Alvaro Peña, Claudio León de la Barra, Eduardo Rodriguez-Tello, Gino Astorga, Carlos Castro, Franklin Johnson, Giovanni Giachetti

“…As the Pendulum Search Algorithm is a metaheuristic designed for continuous optimization problems, a binarization process is performed using the Two-Step Technique. …”
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Multi-Swarm Algorithm for Extreme Learning Machine Optimization by Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Dijana Jovanovic, Milos Antonijevic, Djordje Mladenovic

“…Finding its appropriate values for practical tasks represents an NP-hard continuous optimization challenge. Research proposed in this study focuses on determining optimal or near optimal weights and biases in the hidden layer for specific tasks. …”
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BIOS-Based Server Intelligent Optimization by Xianxian Qi, Jianfeng Yang, Yiyang Zhang, Baonan Xiao

“…To improve the continuous optimization capabilities, the neighborhood search method of state machine control is added. …”
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Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation by Gorodetsky, Alex Arkady, Marzouk, Youssef M

“…Our formulation treats design as a continuous optimization problem that can be solved with gradient-based methods on complex input domains without resorting to greedy approximations. …”
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Large-Scale Algorithms for Machine Learning: Efficiency, Estimation Errors, and Beyond by Wang, Haoyue

“…In Chapters 2 and 3, we study two continuous optimization algorithms tailored to structural constraints. …”
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Nonlinear model reduction for uncertainty quantification in large-scale inverse problems : application to nonlinear convection-diffusion-reaction equation by Galbally, David

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Machine learning approach for wafer frontend test yield loss prediction by Zhong, Qinhong

“…However, currently used statistical monitoring methods on PCM data are no longer effective and reliable. After continuous optimization of fabrication process, monitored data of abnormal wafers becomes indistinguishable statistically. …”
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Revealing the changes in water footprint at the provincial level and their drivers in the Yellow River Basin, China by Qing Xia, Guiliang Tian, Hao Hu, Zheng Wu

“…Therefore, in the future, continuous optimization of the consumption structure and guidance of green consumption awareness are expected to contribute more to the reduction in WF. …”
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