Results 161 to 170 of about 286,084 (291)
Explainable Reinforcement Learning for the Initial Design Optimization of Compressors Inspired by the Black-Winged Kite. [PDF]
Zhang M, Miao Z, Nan X, Ma N, Liu R.
europepmc +1 more source
Abstract We propose the novel p‐branch‐and‐bound method for solving two‐stage stochastic programming problems whose deterministic equivalents are represented by non‐convex mixed‐integer quadratically constrained quadratic programming (MIQCQP) models. The precision of the solution generated by the p‐branch‐and‐bound method can be arbitrarily adjusted by
Nikita Belyak, Fabricio Oliveira
wiley +1 more source
Integrating biological and machine learning models for rainbow trout growth: Balancing accuracy and interpretability. [PDF]
Fulton L, Lyu P.
europepmc +1 more source
Abstract In response to the increasing complexity of modern products, dynamic markets, and intensified competition, project‐based organizations are actively seeking methodologies to efficiently manage their expanding project portfolios. This paper analyzes the project portfolio selection problem in uncertain environments. Despite recent advances in the
Miguel Saiz +3 more
wiley +1 more source
Contrasting microbial assembly patterns in the woody endosphere of hybrid and non-hybrid <i>Populus</i> trees. [PDF]
Grant KR +3 more
europepmc +1 more source
Multi‐objective maritime vessel routing with safety considerations
Abstract The routing of maritime vessels is a challenging optimization problem that involves finding an adequate balance between conflicting and multiple objectives. This paper proposes a methodology based on inverse optimization to find appropriate objective weights that account for conflicting objectives. To formulate the inverse optimization problem,
Nazanin Sharif +4 more
wiley +1 more source
Predicting coastal erosion susceptibility in Bangladesh under climate scenario via machine learning techniques. [PDF]
Hosan S +4 more
europepmc +1 more source
Kerven Durdymyradov, Mikhail Moshkov
openaire +1 more source
Abstract We address the scheduling conflicting jobs on parallel identical machines problem with makespan minimization, a classical and computationally challenging variant of parallel machine scheduling. We develop and evaluate three distinct solution methodologies: a novel constraint programming (CP) formulation, and two metaheuristics: a multi ...
Roberto Maria Rosati +3 more
wiley +1 more source
Towards a mathematical framework for modelling cell fate dynamics. [PDF]
Vittadello ST +4 more
europepmc +1 more source

