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Operations Research, Systems Engineering and Industrial Engineering Commons™
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Articles 1 - 5 of 5
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Credit Assignment In Multiagent Reinforcement Learning For Large Agent Population, Arambam James Singh
Credit Assignment In Multiagent Reinforcement Learning For Large Agent Population, Arambam James Singh
Dissertations and Theses Collection (Open Access)
In the current age, rapid growth in sectors like finance, transportation etc., involve fast digitization of industrial processes. This creates a huge opportunity for next-generation artificial intelligence system with multiple agents operating at scale. Multiagent reinforcement learning (MARL) is the field of study that addresses problems in the multiagent systems. In this thesis, we develop and evaluate novel MARL methodologies that address the challenges in large scale multiagent system with cooperative setting. One of the key challenge in cooperative MARL is the problem of credit assignment. Many of the previous approaches to the problem relies on agent's individual trajectory which …
Generic Instance-Specific Automated Parameter Tuning Framework, Linda Lindawati
Generic Instance-Specific Automated Parameter Tuning Framework, Linda Lindawati
Dissertations and Theses Collection (Open Access)
Meta-heuristic algorithms play an important role in solving combinatorial optimization problems (COP) in many practical applications. The caveat is that the performance of these meta-heuristic algorithms is highly dependent on their parameter configuration which controls the algorithm behaviour. Selecting the best parameter configuration is often a difficult, tedious and unsatisfying task. This thesis studies the problem of automating the selection of good parameter configurations. Existing approaches to address the challenges of parameter configuration can be classified into one-size-fits-all and instance-specific approaches. One-size-fits-all approaches focus on finding a single best parameter configuration for a set of problem instances, while instance-specific approaches …
Dynamic Queue Management For Hospital Emergency Room Services, Kar Way Tan
Dynamic Queue Management For Hospital Emergency Room Services, Kar Way Tan
Dissertations and Theses Collection (Open Access)
The emergency room (ER) – or emergency department (ED) – is often seen as a place with long waiting times and a lack of doctors to serve the patients. However, it is one of the most important departments in a hospital, and must efficiently serve patients with critical medical needs. In the existing literature, addressing the issue of long waiting times in an ED often takes the form of single-faceted queue-management strategies that are either from a demand perspective or from a supply perspective. From the demand perspective, there is work on queue design such as priority queues, or queue …
Robust Execution Strategy For Scheduling Under Uncertainity, Na Fu
Robust Execution Strategy For Scheduling Under Uncertainity, Na Fu
Dissertations and Theses Collection (Open Access)
Resource Constrained Project Scheduling Problems with minimum and maximum time lags (RCPSP/max) provides a general model for resource scheduling in many real-world problems (such as manufacturing and construction engineering). Due to its practical importance and generality, providing effective algorithms and scalable solutions for RCPSP/max is a topic of growing research. Traditional methods have addressed deterministic models with all parameters known with certainty. In this thesis, we are concerned with RCPSP/max problems in an uncertain environment where durations of activities are stochastic and resource availabilities are subject to unforeseen breakdowns. We propose methods for generating robust execution strategy to protect against …
Go Niche Or Go Home: Influence Maximization In The Presence Of Strong Opponent, Long Foong Liow
Go Niche Or Go Home: Influence Maximization In The Presence Of Strong Opponent, Long Foong Liow
Dissertations and Theses Collection (Open Access)
In hotly contested product categories dominated by a few powerful firms, it is quite common for weaker or late entrants to focus only on particular segments of the whole market. The rationale for such strategy is intuitive: to avoid direct confrontation with heavy-weight firms, and to concentrate in segments where these weaker firms have comparative advantages. In marketing, this is what people called “go niche or go home”. The niche-building strategy may rely on “homophily”, which implies that consumers in a particular market segment might possess certain set of attributes that cause them to appreciate certain products better (in other …