Optimization model in timber harvest planning based on an incremental solution approach

2009 ◽  
Author(s):  
Munaisyah Abdullah ◽  
Salwani Abdullah ◽  
Abdul Razak Hamdan ◽  
Roslan Ismail
Keyword(s):  
Optimization Model ◽  
Timber Harvest ◽  
Solution Approach

scholarly journals A TYPE-2 FUZZY OPTIMIZATION MODEL FOR PROJECT PORTFOLIO SELECTION AND SCHEDULING INCORPORATING PROJECT INTERDEPENDENCY AND SPLITTING

2021 ◽  
Vol 27 (2) ◽  
pp. 493-510
Author(s):  
Samaneh Zolfaghari ◽  
Seyed Meysam Mousavi ◽  
Jurgita Antuchevičienė
Keyword(s):  
Portfolio Selection ◽  
Optimization Model ◽  
Fuzzy Optimization ◽  
Project Portfolio ◽  
Time Value Of Money ◽  
Solution Approach ◽  
Project Portfolio Selection ◽  
The Interest Rate ◽  
Interval Type

This paper presents a new optimization model and a new interval type-2 fuzzy solution approach for project portfolio selection and scheduling (PPSS) problem, in which split of projects and re-execution are allowable. Afterward, the approach is realized as a multi-objective optimization that maximizes total benefits of projects concerning economic concepts by considering the interest rate and time value of money and minimizes the tardiness value and total number of interruptions of chosen projects. Besides, budget and resources limitation, newfound relations are proposed to consider dependency relationships via a synergy among projects to solve PPSS problem hiring interval type-2 fuzzy sets. For validation of the model, numerical instances are provided and solved by a new extended procedure based on fuzzy optimistic and pessimistic viewpoints regarding several situations. In the end, their results are studied. The results show that it is more beneficial when projects are allowed to be split.

scholarly journals A new optimization model for market basket analysis with allocation considerations: A genetic algorithm solution approach

2017 ◽  
Vol 12 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Majeed Heydari ◽  
Amir Yousefli
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Heuristic Algorithms ◽  
Influential Factors ◽  
Market Basket Analysis ◽  
Binary Programming ◽  
Modeling And Analysis ◽  
Market Basket ◽  
Solution Approach ◽  
Research Areas

Abstract Nowadays market basket analysis is one of the interested research areas of the data mining that has received more attention by researchers. But, most of the related research focused on the traditional and heuristic algorithms with limited factors that are not the only influential factors of the basket market analysis. In this paper to efficient modeling and analysis of the market basket data, the optimization model is proposed with considering allocation parameter as one of the important and effectual factors of the selling rate. The genetic algorithm approach is applied to solve the formulated non-linear binary programming problem and a numerical example is used to illustrate the presented model. The provided results reveal that the obtained solutions seem to be more realistic and applicable.

Multiobjective Travelling Salesman Problem under Stochastic Environment

2014 ◽  
Vol 530-531 ◽  
pp. 512-516 ◽  
Author(s):  
Qi Fang He ◽  
Tie Zhu Wang ◽  
Lu Pan ◽  
Zu Tong Wang
Keyword(s):  
Combinatorial Optimization ◽  
Operations Research ◽  
Optimization Model ◽  
Travelling Salesman Problem ◽  
Research Community ◽  
Stochastic Environment ◽  
Travelling Salesman ◽  
Solution Approach ◽  
Efficient Route ◽  
Pareto Efficient

Travelling salesman problem is a fundamental combinatorial optimization model studied in the operations research community, and yet, there is surprisingly little literature that addresses stochastic uncertainties and multiple objectives in it simultaneously. This paper is devoted to a novel TSP variation called stochastic multiobjective TSP (SMOTSP) with random variables on the arc, and a new solution approach is proposed to obtain Pareto efficient route in it, whose validity is proved finally.

scholarly journals OPTIMIZATION MODEL OF SELECTIVE CUTTING FOR TIMBER HARVEST PLANNING BASED ON A SIMULATED ANNEALING APPROACH

2014 ◽  
Vol 10 (1) ◽  
pp. 54-65 ◽  
Author(s):  
Munaisyah Abdullah ◽  
Salwani Abdullah ◽  
Abdul Razak Hamdan ◽  
Roslan Ismail
Keyword(s):  
Simulated Annealing ◽  
Optimization Model ◽  
Timber Harvest ◽  
Selective Cutting

The Research on Railway Luggage & Package Shipping Plan Based on Service Network

2011 ◽  
Vol 135-136 ◽  
pp. 1087-1092
Author(s):  
Jin Zi Zheng ◽  
Jun Liu
Keyword(s):  
Network Design ◽  
Heuristic Algorithm ◽  
Optimization Model ◽  
Design Model ◽  
Service Network ◽  
Service Network Design ◽  
Solution Approach

Due to the particularity of railway luggage & package shipping organization and large requirement of luggage & package shipping, the problem of making luggage & package shipping plan is increasingly complex. In order to improve the efficiency of making luggage & package shipping plan and assist human work, this paper mainly discusses how to optimize the plan. Based on analyzing the characteristic of luggage & package shipping, this paper analyzes lots of factors that affects the rationality of the plan and establishes an optimization model with the objective of minimizing general cost based on service network, and then develops a Heuristic Algorithm. At last, the application of service network design model for luggage & package shipping and its solution approach are illustrated with the case.

IT Project Selection using Fuzzy Real Option Optimization Model

2012 ◽  
Vol 3 (3) ◽  
pp. 37-49
Author(s):  
Shashank Pushkar ◽  
Prity Kumari ◽  
Akhileshwar Mishra
Keyword(s):  
Mathematical Model ◽  
Portfolio Selection ◽  
Optimization Model ◽  
Real Option ◽  
Programming Model ◽  
Optimization Technique ◽  
Option Value ◽  
It Services ◽  
Solution Approach ◽  
Service Portfolio

Optimal selection of interdependent IT and e-business projects for funding in multi-period has been challenging in the framework of Real Option analysis. This paper presents a mathematical model to optimize the fuzzy Option value for multi-stage portfolio of such projects. A fuzzy Option model is used to maximize the Option value of each project. The IT and e-service portfolio selection problem is formulated as a fuzzy zero–one integer programming model that can handle both uncertain and flexible parameters to determine the optimal project portfolio. The idea of optimizing the fuzzy real option value of the portfolio is to maximize the overall value and to minimize the downside risk of the selected portfolio for funding. A transformation method based on qualitative possibility theory is developed to convert the fuzzy portfolio selection model into a crisp mathematical model from the risk-averse perspective. The transformed model can be solved by an optimization technique. The optimization model and solution approach can help e-entrepreneurs and IT managers in optimal funding decision making for projects prioritization to implement e-business and other IT services.

An optimization model of self-paced tracking

1984 ◽  
Author(s):  
M. A. Montazer ◽  
Colin G. Drury
Keyword(s):  
Optimization Model
Sign in / Sign up

Export Citation Format

Share Document