The simulation-based multi-objective evolutionary optimization (SIMEON) framework
Ronald Apriliyanto Halim,Mamadou D. Seck +1 more
- 11 Dec 2011
- pp 2839-2851
TL;DR: The proposed framework is developed based on Zeigler's modeling and simulation framework and the phases of an optimization study in operations research, and is implemented in Java.
read more
Abstract: Simulation and optimization have been successfully combined to solve real-world decision making problems. However, there is no formal structure to define the integration between simulation and optimization. This deters the development of simulation-based optimization methods that have a proper balance between the desired features (i.e. generality, efficiency, high-dimensionality and transparency). This research provides two contributions to the problem above by providing: 1) the design of the framework that facilitates the fulfillment of the aforementioned features; 2) the implementation of the framework in Java. The proposed framework is developed based on Zeigler's modeling and simulation framework and the phases of an optimization study in operations research. The test and evaluation show that the desired features are successfully satisfied.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
A strategic model of port-hinterland freight distribution networks
TL;DR: In this article, the authors present a strategic model for port-hinterland freight distribution networks, which utilizes a combination of a multi-objective optimization model to estimate locations and networks of distribution centers and an assignment model that recognizes distributed service level preferences.
49
Simulation-based optimization approach for material dispatching in continuous mining systems
TL;DR: To optimize the dispatch system in terms of minimum idle time due to unavailability of dumping space, a new multi-stage simulation-based optimization approach is proposed that combines simulation and algorithms to solve a transportation problem and a job-shop scheduling problem.
27
Strategic Modeling of Global Container Transport Networks: Exploring the future of port-hinterland and maritime container transport networks
Ronald Apriliyanto Halim
- 13 Mar 2017
TL;DR: In this article, the authors propose a set of empirically grounded quantitative models of global freight transport that can support strategic decision-making about investments in freight transport infrastructures, and apply them in comprehensive analyses of the EU's and global container transport networks.
Multi-objective traffic signal optimization using 3D mesoscopic simulation and evolutionary algorithms
TL;DR: This paper addresses a multi-objective simulation-based signal control problem through the case study of “Nancy Grand Cœur” (NGC) eco-neighbourhood with the purpose of finding the optimal traffic control plan to reduce congestion during peak hours.
22
The use of search experimentation in discrete-event simulation practice
TL;DR: An international survey of over 300 modellers found the extent to which simulation optimisation, meta-modelling and design of experiments are used in practice is hampered by a lack of application knowledge and a persisting view that such techniques are not necessary.
18
References
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Muiltiobjective optimization using nondominated sorting in genetic algorithms
N. Srinivas,Kalyanmoy Deb +1 more
TL;DR: Goldberg's notion of nondominated sorting in GAs along with a niche and speciation method to find multiple Pareto-optimal points simultaneously are investigated and suggested to be extended to higher dimensional and more difficult multiobjective problems.
7.1K
Survey of multi-objective optimization methods for engineering
R.T. Marler,Jasbir S. Arora +1 more
TL;DR: A survey of current continuous nonlinear multi-objective optimization concepts and methods finds that no single approach is superior and depends on the type of information provided in the problem, the user's preferences, the solution requirements, and the availability of software.
4.8K
•Book
Introduction to Operations Research
Frederick S. Hillier,Gerald J. Lieberman +1 more
- 01 Jan 1967
TL;DR: The Simplex Method duality theory and sensitivity analysis for linear programming has been studied extensively in the field of operations research as mentioned in this paper, including the application of queueing theory inventory theory forecasting Markovian decision processes and applications decision analysis simulation.
3.8K
•Journal Article
Simulated Binary Crossover for Continuous Search Space.
TL;DR: A real-coded crossover operator is developed whose search power is similar to that of the single-point crossover used in binary-coded GAs, and SBX is found to be particularly useful in problems having mult ip le optimal solutions with a narrow global basin where the lower and upper bo unds of the global optimum are not known a priori.
3.3K