Results 101 to 110 of about 158,007 (285)
Indonesian Maritime Logistics Network Optimization Using Mixed Integer Programming
MATEC Web of Conferences, 2017 Some causes of the high logistic costs and significant disparity in Indonesia’s commodity price is the imbalanced distribution of the flow of goods between west and east regional of Indonesia and the slow development infrastructure.
Arry Rahmawan Komarudin +1 more
doaj +1 more source
ALPS: A Linear Program Solver [PDF]
ALPS is a computer program which can be used to solve general linear program (optimization) problems. ALPS was designed for those who have minimal linear programming (LP) knowledge and features a menu-driven scheme to guide the user through the process ...
Ferencz, Donald C., Viterna, Larry A.
core +1 more source
Mixed Integer Linear Programming For Exact Finite-Horizon Planning In Decentralized Pomdps [PDF]
, 2007 We consider the problem of finding an n-agent joint-policy for the optimal finite-horizon control of a decentralized Pomdp (Dec-Pomdp). This is a problem of very high complexity (NEXP-hard in n >= 2).
Aras, Raghav +2 more
core +3 more sources
AIChE Journal, EarlyView.ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana +3 more
wiley +1 more source
Repetitive construction processes scheduling using mixed-integer linear programming
Budownictwo i Architektura, 2015 Many construction projects contain several identical or similar units, such as floors in multistory buildings, houses in housing developments, sections of pipelines or highways.
Piotr Jaśkowski
doaj +1 more source
A multiscale Bayesian optimization framework for process and material codesign
AIChE Journal, EarlyView.Abstract The simultaneous design of processes and enabling materials such as solvents, catalysts, and adsorbents is challenging because molecular‐ and process‐level decisions are strongly interdependent. Sequential approaches often yield suboptimal results since improvements in material properties may not translate into superior process performance. We
Michael Baldea
wiley +1 more source
AN ECONOMIC ANALYSIS OF THE EMISSION REDUCTION MARKET SYSTEM IN CHICAGO [PDF]
A mixed-integer programming model is used to investigate economic impacts of the permit trading market in Chicago and determine the equilibrium price. Unlike previous studies, the model determines unit pollution abatement cost endogenously depending on ...
Liao, Chao-Ning, Onal, Hayri
core +1 more source
AIChE Journal, EarlyView.Abstract Under time‐varying electricity prices, the production costs of Power‐to‐X processes with intermediate storage can be reduced by simultaneously optimizing the process unit design and size with their scheduling and operation. However, the production cost sensitivity to optimal process design or scheduling is unclear, especially when several ...
Simone Mucci, Dominik Bongartz
wiley +1 more source
KESEIMBANGAN LINTASAN TIPE U- LINE ASSEMBLY PADA PERAKITAN POMPA AIR
Jurnal Teknik Industri, 2009 Many companies strive for minimizing imbalance work station as well as number of work stations. Besides, the work station’s precedence and space curb also have to be considered. So far, there exist many solutions on those quests.
Pratikto Pratikto, Tanti Octavia
doaj
Mixed-integer nonlinear programming 2018 [PDF]
Optimization and Engineering, 2019 Mixed-Integer Nonlinear Programming (MINLP) is the area of optimization that addresses nonlinear problems with continuous and integer variables. MINLP has proven to be a powerful tool for modeling. At the same time, it combines algorithmic design challenges from combinatorial and nonlinear optimization.
openaire +1 more source