Results 131 to 140 of about 94,179 (301)

Considering spatiotemporal evolutionary information in dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Preserving population diversity and providing knowledge, which are two core tasks in the dynamic multi‐objective optimisation (DMO), are challenging since the sampling space is time‐ and space‐varying. Therefore, the spatiotemporal property of evolutionary information needs to be considered in the DMO.
Qinqin Fan, Min Jiang, Wentao Huang, Qingchao Jiang   +3 more
wiley   +1 more source

Leader selection based Multi-Objective Flow Direction Algorithm (MOFDA): A novel approach for engineering design problems

Results in Engineering
Addressing complex real-world issues with conflicting objectives is a significant challenge in optimization. Practical algorithms must balance these objectives, mainly when decision-maker preferences are unclear.
Nima Khodadadi, Mohammad Ehteram, Hojat Karami, Mohammad H. Nadimi-Shahraki, Laith Abualigah, Seyedali Mirjalili   +5 more
doaj   +1 more source

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai, Shriarjun Shastry, Morgan R. Hurst, Arianna Minzoni, Eduardo Barbieri, Luke Remmler, Eugene N. Muratov, Michael A. Daniele, Stefano Menegatti, Alexander Tropsha   +9 more
wiley   +1 more source

A Mechanistic Model of rAAV Production in Synthetic Cell Lines

Biotechnology and Bioengineering, EarlyView.
ABSTRACT The recombinant adeno‐associated virus (rAAV) is a widely used vector for gene therapy. Its manufacturing faces significant challenges in producing the large quantities of vectors needed for clinical applications and reducing empty particles.
Prahalad Srinivasan, Han‐Jung Kuo, Yu‐Chieh Lin, Yen‐An Lu, Wei‐Shou Hu, Qi Zhang   +5 more
wiley   +1 more source

Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives

Business Strategy and the Environment, EarlyView.
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh, Rsha Alghafes, Judit Petra Koltai, Sushant Kumar Vishnoi   +3 more
wiley   +1 more source

Sustainability in Italian Dining: A Comparative Study of Perceptions in Full‐Service Restaurants and Agritourism

Business Strategy and the Environment, EarlyView.
ABSTRACT This study explores how sustainability is perceived and prioritized by consumers within full‐service restaurants and rural agritourism settings in Italy, examining the socio‐cultural and economic role of the HoReCa sector in promoting sustainable practices and analyzing gender and generational differences in consumer behavior.
Roberta Minazzi, Patrizia Gazzola, Daniele Grechi, Andrea Vitareti   +3 more
wiley   +1 more source

Multi-objective worst case optimization by means of evolutionary algorithms [PDF]

Many real-world optimization problems are subject to uncertainty. A possible goal is then to find a solution which is robust in the sense that it has the best worst-case performance over all possible scenarios.
Avigad, Gideon, Branke, Jürgen, Moshaiov, Amiram   +2 more
core  

The Fast, the Steady and the Tenacious: Funding Pathways for Circular Start‐Ups

Business Strategy and the Environment, EarlyView.
ABSTRACT Circular start‐ups (CSUs) are critical for unlocking the circular economy, yet they face persistent barriers in accessing finance. Despite growing interest from policymakers and financing institutions, little empirical evidence explains how these ventures pursue and secure funding.
Pilar Mejía‐Vélez, Wim Van Opstal, Christina Bidmon, Saskia Manshoven, Julian Kirchherr   +4 more
wiley   +1 more source

Dynamic multi‐objective optimisation of complex networks based on evolutionary computation

IET Networks, EarlyView., 2022
Abstract As the problems concerning the number of information to be optimised is increasing, the optimisation level is getting higher, the target information is more diversified, and the algorithms are becoming more complex; the traditional algorithms such as particle swarm and differential evolution are far from being able to deal with this situation ...
Linfeng Huang
wiley   +1 more source

When Collaboration Bridges or Breaks: A Systematic Review of Emerging Trends in Supply Chain Resilience and Sustainability

Business Strategy and the Environment, EarlyView.
ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia, Luca Urciuoli   +1 more
wiley   +1 more source