Results 171 to 180 of about 1,432,311 (298)

Pareto Front Transformation in the Decision-Making Process for Spectral and Energy Efficiency Trade-Off in Massive MIMO Systems. [PDF]

Sensors (Basel)
Haxhiraj E, Shahu D, Agastra E.
europepmc   +1 more source

Improved multi-objective decision-making in manufacturing processes through uncertainty quantification and robust pareto front modelling. [PDF]

Sci Rep
De Temmerman A, Verbeke M.
europepmc   +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

A multi objective optimization framework for smart parking using digital twin pareto front MDP and PSO for smart cities. [PDF]

Sci Rep
Sahu D, Sinha P, Prakash S, Yang T, Rathore RS, Wang L.   +5 more
europepmc   +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

Stellar Sax Quartet

, 1992
Western Front: 303 E 8th Avenue. Coat Cooke (ts, bs); François Houle (ss); Daniel Kane (bs); Bob Walker (as)

core  

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

A non compensatory composite index for measuring well-being over time

, 2013
In the last decades, there has been a growing consensus among specialists and researcher that GDP per capita cannot alone explain the well-being in a geographical area.
MAZZIOTTA, Matteo, Pareto, A.
core  

A Collaborative Optimisation Strategy of Electric Agricultural Machinery Clusters and Rural Distribution Network in Renewable Energy Storage Application Scenario

IET Smart Energy Systems, EarlyView.
This paper proposes a two‐stage electric agricultural machinery charging optimisation strategy that first adjusts Charging scheduling to minimise load variance, then uses V2G technology with idle machinery as energy storage to reduce fluctuation and improve PV integration, solved via NSGA‐II and TOPSIS.
Qiang Yu, Zihong Jiang, Xionglin He, Yongji Chen, Lianyue Niu, Wei Tang, Jian Zhao   +6 more
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