Results 131 to 140 of about 1,432,311 (298)

Many-Objective Grasshopper Optimization Algorithm (MaOGOA): A New Many-Objective Optimization Technique for Solving Engineering Design Problems

International Journal of Computational Intelligence Systems
In metaheuristic multi-objective optimization, the term effectiveness is used to describe the performance of a metaheuristic algorithm in achieving two main goals—converging its solutions towards the Pareto front and ensuring these solutions are well ...
Kanak Kalita, Pradeep Jangir, Robert Čep, Sundaram B. Pandya, Laith Abualigah   +4 more
doaj   +1 more source

Pareto meets Olson: A note on Pareto-optimality and group size in linear public goods games [PDF]

In this paper I examine the relationship between Pareto-optimality and group size in linear public goods games or experiments. In particular, I use the standard setting of homogeneous linear public goods experiments and apply a recently developed tool to
Pickhardt, Michael
core  

Pareto front identification from stochastic bandit feedback [PDF]

, 2016
We consider the problem of identifying the Pareto front for multiple objectives from a finite set of operating points. Sampling an operating point gives a random vector where each coordinate corresponds to the value of one of the objectives.
Chiang, C.-K., Chiang, Chao-Kai, Ortner, R., Drugan, MM Madalina, Auer, P., Auer, Peter, Drugan, M.M., Ortner, Ronald   +7 more
core   +1 more source

Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers

The Canadian Journal of Chemical Engineering, EarlyView.
This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger, Sálvio Lima de Carvalho Neto, Silvio Edegar Weschenfelder, Glaucia Rodrigues Vieira de Almeida da Fonseca, Maria de Fátima Rodrigues da Cunha, Selene Maria Arruda Guelli Ulson de Souza, Evandro Balestrin, Adriano da Silva   +7 more
wiley   +1 more source

Sensitivity of Pareto Solutions in Multiobjective Optimization. [PDF]

The paper presents a sensitivity analysis of Pareto solutions on the basis of the Karush-Kuhn-Tucker (KKT) necessary conditions applied to nonlinear multiobjective programs (MOP) continuously depending on a parameter.
Balbás, Alejandro, Jiménez Guerra, Pedro, Galperin, Effim   +2 more
core  

Efficient Fairness-Performance Pareto Front Computation

CoRR
There is a well known intrinsic trade-off between the fairness of a representation and the performance of classifiers derived from the representation. Due to the complexity of optimisation algorithms in most modern representation learning approaches, for a given method it may be non-trivial to decide whether the obtained fairness-performance curve of ...
Mark Kozdoba, Binyamin Perets, Shie Mannor   +2 more
openaire   +2 more sources

A conversation with James V. Zidek

Canadian Journal of Statistics, EarlyView.
AbstractThis article documents a series of exchanges between the authors and the senior Canadian statistician Jim Zidek in early 2026. The interview traces his life trajectory, surveying his principal contributions to statistics while offering insights into his motivations, successes, and challenges. Zidek is a Fellow of the Royal Society of Canada and
Christian Genest, Nancy E. Heckman
wiley   +1 more source

Dynamic Reconstruction of Atomically Dispersed Copper Catalysts for CO2 Reduction: From In Situ Observations to Rational Design

EcoEnergy, EarlyView.
Dynamic reconstruction transforms atomically dispersed Cu catalysts into authentic working‐state active phases during CO2 electroreduction. By integrating operando characterization, multiscale simulations, and AI‐assisted predictive modeling, this review establishes a framework for understanding, predicting, and rationally engineering catalyst ...
Jin Liu, Yue‐Wen Fang
wiley   +1 more source

Spatially Resolved Metabolomics of Optimal Cutting Temperature (OCT) Compound‐Embedded Tumors

International Journal of Cancer, EarlyView.
ABSTRACT Mass spectrometry imaging (MSI) is emerging as a powerful tool for uncovering the distribution of metabolites in the tumor microenvironment and studying tumor metabolism in vivo. To date, MSI of biobanked tissues contextualized by patient data has been limited to peptides, proteins, and glycans—with few examples for metabolites.
Joseph Monaghan, Nicholas Woytowich, Tian Zhao, Kiera Nguyen, Emily Mahony, Julian J. Lum, Kyle D. Duncan   +6 more
wiley   +1 more source

Multiobjective Simulation–Optimization of Crop Allocation and Water Resources in Canal Command Areas Using Genetic Algorithms

Irrigation and Drainage, EarlyView.
ABSTRACT This study develops an integrated simulation–optimization framework for sustainable crop allocation and water resource management in the Bargarh Canal Command (BCC), eastern India. Efficient irrigation allocation remains a critical challenge due to competing demands, groundwater–surface water interactions and environmental constraints ...
Priyanka Mohapatra, J. C. Paul, Sushree Sangita Dash   +2 more
wiley   +1 more source