Journal ArticleDOI
Gas and oil project time-cost-quality tradeoff: Integrated stochastic and fuzzy multi-objective optimization applying a memetic, nondominated, sorting algorithm
Reads0
Chats0
TLDR
Analysis of an example gas-processing-plant-construction project, applying three distinct work-item duration-cost relationships, demonstrates with the aid of metaheuristic profiling, that the memetic STCQTP algorithm, coded in visual basic for applications for execution via an Excel spreadsheet, requires no proprietary software to deliver its objectives.About:
This article is published in Journal of Natural Gas Science and Engineering.The article was published on 2017-09-01. It has received 26 citations till now. The article focuses on the topics: Metaheuristic & Memetic algorithm.read more
Citations
More filters
Journal ArticleDOI
DEMATEL-ANP Risk Assessment in Oil and Gas Construction Projects
Gholamreza Dehdasht,Rosli Mohamad Zin,M. Salim Ferwati,Mu’azu Mohammed Abdullahi,Ali Keyvanfar,Ronald McCaffer +5 more
TL;DR: In this article, the authors presented a novel adaptation of the risk assessment methodology to OGC projects that determines the important risk factors that directly affect the project success, which in turn helps in formulation of policies for ensuring reliable energy supply planning.
Journal ArticleDOI
Optimizing multi-mode time-cost-quality trade-off of construction project using opposition multiple objective difference evolution
TL;DR: This study is expected to provide an alternative solving methodology for the TCQT problem and help project manager plan construction methods with optimal time-cost-quality tradeoff and verify the efficiency and effectiveness of the proposed algorithm.
Journal ArticleDOI
A new analytical methodology to handle time-cost trade-off problem with considering quality loss cost under interval-valued fuzzy uncertainty
TL;DR: A new framework in addressing time-cost trade-off problem (TCTP) under uncertainty is proposed and a scheduling that addresses time, cost and quality trade-offs in addition to categorizing activities in different groups based on being on the critical path is proposed.
Book ChapterDOI
Memetic Algorithms for Business Analytics and Data Science: A Brief Survey.
TL;DR: This chapter reviews applications of Memetic Algorithms in the areas of business analytics and data science and gives emphasis to the large number of applications in business and consumer analytics that were published between January 2014 and May 2018.
Journal ArticleDOI
Resource-constrained time–cost-quality-energy-environment tradeoff problem by considering blockchain technology, risk and robustness: a case study of healthcare project
TL;DR: In this paper , the authors presented a Resource-Constrained Time-Cost-Quality-Energy-Environment Tradeoff Problem by considering BCT, Risk and Robustness (RCTCQEETPBCTRR) in project scheduling.
References
More filters
Proceedings ArticleDOI
Cuckoo Search via Lévy flights
Xin-She Yang,Suash Deb +1 more
TL;DR: A new meta-heuristic algorithm, called Cuckoo Search (CS), is formulated, based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Lévy flight behaviour ofSome birds and fruit flies, for solving optimization problems.
On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts : Towards Memetic Algorithms
TL;DR: In this paper, the authors present a short abstract, which is a summary of the paper.Short abstract, isn't it? But it is short abstracts, not abstracts.
Journal ArticleDOI
Comparison among five evolutionary-based optimization algorithms
TL;DR: Comparisons among the formulation and results of five recent evolutionary-based algorithms: genetic algorithms, memetic algorithms, particle swarm, ant-colony systems, and shuffled frog leaping are compared.
Journal ArticleDOI
Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization
TL;DR: Experimental results in terms of the likelihood of convergence to a global optimal solution and the solution speed suggest that the SFLA can be an effective tool for solving combinatorial optimization problems.
Journal ArticleDOI
Critical-Path Planning and Scheduling: Mathematical Basis
TL;DR: The essential ingredient of the technique is a mathematical model that incorporates sequence information, durations, and costs for each component of the project that is a special parametric linear program that may be solved efficiently by network flow methods.