Results 71 to 80 of about 37,139 (224)

Finding Minimum‐Cost Explanations for Predictions Made by Tree Ensembles

Software: Practice and Experience, EarlyView.
ABSTRACT The ability to reliably explain why a machine learning model arrives at a particular prediction is crucial when used as decision support by human operators of critical systems. The provided explanations must be provably correct, and preferably without redundant information, called minimal explanations.
John Törnblom, Emil Karlsson, Simin Nadjm‐Tehrani   +2 more
wiley   +1 more source

ЗАДАЧА КОММИВОЯЖЁРА С ПОВОРОТНЫМИ ШТРАФАМИ: ПОСТАНОВКА ПО ТРОЙКАМ ВЕРШИН И АЛГОРИТМИЧЕСКИЕ СХЕМЫ РЕШЕНИЯ

Cifra: Информационные технологии и телекоммуникации
В статье рассматривается классическая задача коммивояжёра (TSP) и её вариация для маршрутизации на графах с поворотными штрафами, когда стоимость маршрута зависит не только от выбранных рёбер, но и от последовательности двух смежных переходов (троек ...
Голод Г.М.
doaj   +1 more source

Cost‐Optimal Building Energy System Scheduling Integrating Solar Irradiance Forecasting via LSTM‐Attention‐TCN Model

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Building energy systems integrating multiple energy sources can effectively reduce energy consumption and facilitate renewable energy integration. Integrating electrical energy storage (EES) into these systems helps accommodate the increasing share of renewables; however, the stochastic and intermittent nature of solar power still poses ...
Zhengtian Wu, Jianyu Li, Yang Gao, Chuangyin Dang, Chao Tang, Yuansheng Li, Xinmiao Wang, Jinpeng Chen, Hongbo Gao, Xinyin Xu   +9 more
wiley   +1 more source

تعیین عمق و زمان بهینه گذار از روش استخراج روباز به زیرزمینی در معدن مس سونگون [PDF]

نشریه مهندسی معدن
ذخایر معدنی نزدیک به سطح با گسترش عمقی و شیب زیاد، قابلیت استخراج با روش روباز، زیرزمینی و یا ترکیبی از این دو روش را دارد. گذار از معدن روباز به زیرزمینی یکی از مسایل چالش برانگیز مهندسی معدن است. معادنی که قابلیت گذار را دارند، در نهایت به یک نقطه گذار
ناصر بدخشان, کوروش شهریار, سجاد افرائی   +2 more
doaj   +1 more source

Optimal Scheduling of Data Centre Integrated Energy Systems Considering Electric‐Thermal Demand Response Under Icing Uncertainty

Energy Internet, EarlyView.
ABSTRACT Extreme icing disasters increasingly undermine the reliability of integrated power and heat networks by causing line outages, supply shortages and sharp thermal load fluctuations. To address these challenges, this paper proposes a comprehensive optimisation framework that exploits the spatiotemporal flexibility of data centres for coordinated ...
Yan Wang, Hui Hou, Zhengguo Wang, Wenzhe Zheng, Zhengtian Li, Xiangning Lin, Wu Chen   +6 more
wiley   +1 more source

Sub‐optimal Internet of Thing devices deployment using branch and bound method

IET Networks, EarlyView.
The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley   +1 more source

Minimizing Maximum Regret in Commitment Constrained Sequential Decision Making

, 2017
In cooperative multiagent planning, it can often be beneficial for an agent to make commitments about aspects of its behavior to others, allowing them in turn to plan their own behaviors without taking the agent's detailed behavior into account ...
Durfee, Edmund, Singh, Satinder, Zhang, Qi   +2 more
core   +1 more source

CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction

Mixed-Integer Linear Programming (MILP) is a cornerstone of combinatorial optimization, yet solving large-scale instances remains a significant computational challenge. Recently, Graph Neural Networks (GNNs) have shown promise in accelerating MILP solvers by predicting high-quality solutions. However, we identify that existing methods misalign with the
Pu, Tianle, Li, Jianing, Gao, Yingying, Liu, Shixuan, Geng, Zijie, Liu, Haoyang, Chen, Chao, Fan, Changjun   +7 more
openaire   +2 more sources

Bridging k-sum and CVaR optimization in MILP [PDF]

Computers & Operations Research, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carlo Filippi, Włodzimierz Ogryczak, M. Grazia Speranza   +2 more
openaire   +2 more sources

A genetic algorithm simheuristic for solving the stochastic project portfolio selection problem with portfolio reliability constraints

International Transactions in Operational Research, EarlyView.
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, David Lopez‐Lopez, Laura Calvet, Angel A. Juan   +3 more
wiley   +1 more source