Results 61 to 70 of about 18,755 (251)
Constrained Optimization Involving Expensive Function Evaluations: A Sequential Approach
This paper presents a new sequential method for constrained non-linear optimization problems.The principal characteristics of these problems are very time consuming function evaluations and the absence of derivative information.
Brekelmans, R.C.M. +3 more
core
Abstract This study presents a novel bioeconomy optimization framework, BiOpt, designed to address critical questions regarding the strategic use of limited US biomass resources for biofuel production. By integrating detailed techno‐economic analyses, life cycle assessments, and resource assessment data, BiOpt optimizes resource distributions across ...
Nicholas A. Carlson +3 more
wiley +1 more source
An integral function and vector sequence method for unconstrained global optimization
An integral function and a vector sequence are constructed in this paper. Their theoretical and numerical properties are investigated. Based on the integral function and the vector sequence, an algorithm is proposed for solving a class of unconstrained ...
Bai, Fusheng +3 more
core +1 more source
ABSTRACT Reinforcement learning (RL) has been used to control a wide range of dynamic processes, especially ones that are too complex to model well or have stochastic environmental perturbations. Fed‐batch fermentations are subject to changes in starting cell growth rates and process variations that can affect cell growth and secreted target production.
Sai Harish Uthravalli +3 more
wiley +1 more source
ABSTRACT This study examines the influence of circular economy practices, as a manifestation of corporate social responsibility, on green value co‐creation and its subsequent effects on green collaborative practices and sustainable supply chain integration between providers and customers.
Adriana Santos +2 more
wiley +1 more source
Methods for large scale unconstrained optimization
In this article, we review methods for the solution of unconstrained optimization problems, where the number of unknowns is large.We first describe the basics of unconstrained optimization, then we consider the iterative methods that are commonly used ...
FASANO, Giovanni, FASANO G.
core
ABSTRACT Whether corporate carbon management can enhance productive efficiency is central to firms' long‐term competitiveness and determines whether carbon reduction efforts can be sustained beyond regulatory compliance. This study examines how corporate carbon risk and opportunity management affects firm productivity (measured by total factor ...
Nan Huang, Hanlu Fan, Ruoxin Zhu
wiley +1 more source
Sufficient descent directions in unconstrained optimization
Unconstrained optimization, Sufficient descent direction, PSB method, Global convergence, Superlinear convergence,
Dong-Hui Li, Yunhai Xiao, Xiao-Min An
core +1 more source
Green Hydrogen for Public Transportation: Insights From an ABM and From Palma de Mallorca Case Study
ABSTRACT The development of green hydrogen (GH2) value chains is crucial for decarbonizing sectors such as transport and industry. Their emergence, however, requires coordination among diverse actors, technologies, and regulations, which traditional analytical approaches struggle to capture.
Roberta De Cristofaro +2 more
wiley +1 more source
ABSTRACT Global net‐zero ambitions require transformative strategies to decarbonise carbon‐intensive global value chains (GVCs). This study examines how multinational enterprises (MNEs) in sunset industries integrate carbon capture technologies (CCT) with operational and supply chain dynamics (OSCD) to advance decarbonisation.
Muhammad Mustafa Kamal +6 more
wiley +1 more source

