Results 141 to 150 of about 66,012 (265)

Leveraging Life Cycle Assessment for Informing Packaging Eco‐Design and Eco‐Modulation

Sustainable Development, EarlyView.
ABSTRACT Eco‐modulation is designed to promote the adoption of eco‐design. However, in practice, its application is mostly concentrated on end‐of‐life (EoL) optimization. This study addresses the gap by proposing a framework to assess product–packaging systems as integrated units throughout the full life cycle.
Dwi Putri Yudianti Yudison, Anibal Bher, Rafael Auras   +2 more
wiley   +1 more source

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia   +4 more
wiley   +1 more source

Fair Cost Allocation in Energy Communities Under Forecast Uncertainty

IEEE Open Access Journal of Power and Energy
Energy communities (ECs) are an increasingly studied path toward improving prosumer coordination. A central challenge of ECs is to allocate cost savings fairly to members. While many allocation mechanisms have been developed, existing literature does not
Michael Eichelbeck, Matthias Althoff
doaj   +1 more source

MOEA/D‐based multi‐row facility layout optimisation method with discontinuity perceiving of the Pareto front

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In a multi‐row facility layout problem (MRFLP), facilities are arranged in more than one row under the limited layout area. Considering different layout factors, various extensions of MRFLP have been modelled. However, the orientation of input/output (I/O) point in a facility, as a key factor that plays a direct impact on flow cost, is seldom ...
Yinan Guo, Yao Huang, Jian Cheng, Xiaoyu Ban, Xiaoxiao Zhao, Tianyu Liu   +5 more
wiley   +1 more source

A Bi-Objective Optimization Strategy of a Distribution Network Including a Distributed Energy System Using Stepper Search

Applied Sciences
The optimal scheduling of DES is to solve a multi-objective optimization problem (MOP) with complex constraints. However, the potential contradiction between multiple optimization objectives leads to the diversity of feasible solutions, which has a ...
Suliang Ma, Zeqing Meng, Yilin Cui, Guanglin Sha   +3 more
doaj   +1 more source

Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Dynamic multiobjective optimisation problems (DMOPs) are optimisation problems with multiple conflicting objectives that can change over time. Most dynamic multiobjective optimisation evolutionary algorithms (DMOEAs) attempt to estimate Pareto‐optimal sets (PS) directly in the decision space.
Kai Gao, Lihong Xu
wiley   +1 more source

The Political Economy of Patent Buyouts

The RAND Journal of Economics, EarlyView.
ABSTRACT Incentivizing innovation through buyouts may alleviate the social costs associated with patent power, but the political economy and feasibility of this potentially important financing mechanism have been understudied. We study an international setting of countries with different innovation and financing capabilities, and where financing ...
Amal Ahmad, Dominik Naeher, Sebastian Vollmer   +2 more
wiley   +1 more source

Solving Hard Multiobjective Problems with a Hybridized Method

Journal of Computer Science and Technology, 2010
This paper presents a hybrid method to solve hard multiobjective problems. The proposed approach adopts an epsilon-constraint method which uses a Particle Swarm Optimizer to get points near of the true Pareto front. In this approach, only few points will
Leticia Cagnina, Susana Cecilia Esquivel
doaj  

Why Is Exclusivity in Broadcasting Rights Prevalent and Why Does Simple Regulation Fail?

The RAND Journal of Economics, EarlyView.
ABSTRACT Pay‐TV firms compete both downstream to attract viewers and upstream to acquire broadcasting rights. Because profits inherited from downstream competition satisfy a convexity property, allocating rights to the dominant firm maximizes the industry profit.
David Martimort, Jerome Pouyet
wiley   +1 more source

Story2Board: A Training‐Free Approach for Expressive Visual Storytelling

Computer Graphics Forum, EarlyView.
Abstract We present Story2Board, a training‐free framework for expressive storyboard generation from natural language. Existing methods narrowly focus on subject identity, overlooking key aspects of visual storytelling such as spatial composition, background evolution, and narrative pacing.
D. Dinkevich, M. Levy, O. Avrahami, D. Samuel, D. Lischinski   +4 more
wiley   +1 more source