Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"Ant-colony optimisation"”.
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An Extended Ant Colony Optimisation Approach for the Mass Customisation Paradigm
… the direction in which it flows in assembly plants, there is an opportunity to minimise its impact on assembly operations. Additionally, planning and scheduling can become increasingly complex with frequently changing customer orders as expected with the emergence of the mass customisation …
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Ant Colony Optimisation for Dynamic and Dynamic Multi-objective Railway Rescheduling Problems
… this work is to investigate the application of ant colony optimisation (ACO) to dynamic and dynamic multiobjective railway rescheduling problems. ACO is a promising approach for dynamic combinatorial optimisation problems as its inbuilt mechanisms allow it to adapt to the new environment while …
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ANTMANET: a novel routing protocol for mobile ad-hoc networks based on ant colony optimisation
The core aim of this research is to present “ANTMANET” a novel routing protocol for Mobile Ad-Hoc networks. The proposed protocol aims to reduce the network overhead and delay introduced by node mobility in MANETs. There are two techniques embedded in this protocol, the “Local Zone” technique and …
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Job Shop Scheduling with Flexible Maintenance Planning
… The scheduling problem is modelled as a variant of the job shop scheduling problem. Important aspects of the considered problem include the scheduling of jobs with both soft and hard due dates, and the integration of maintenance planning with job scheduling. Two variants of the scheduling …
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Metaheuristic algorithms for air-route optimization under climate change
This thesis studies air-route optimisation under climate-driven turbulence using both exact algorithms and metaheuristics. We first build a transparent baseline on synthetic grids and small airport networks where edge costs are still-air travel times. This allows reproducible comparisons between …
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Integrating Simulation–Optimisation for Multi-Objective Blood Supply Chain Network Design
… integrates Agent-Based Simulation (ABS) with optimisation to capture stochastic donor behaviour and dynamic system interactions. To solve this complex problem, two metaheuristic approaches are employed: a Tabu Search algorithm applied to the p-median problem, and an Ant Colony Optimisation …
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Energy-efficient data gathering and aggregation for wireless sensor networks.
… power supply of sensor nodes, and (ii) the redundant data which are correlated among different nodes. These two are associated with energy consumption and data traffic control. The research in this thesis aims at designing an energy efficient routing scheme with data aggregation in wireless sensor …
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Smart charging strategies for electric vehicle charging stations
… The problem is modelled as a multi-objective optimisation problem. A metaheuristic solution in the form of ant colony optimisation (ACO) is applied to solve the problem. Considering the influence of pricing on PEV owners' behaviour, the smart charging strategy is then extended to address the …
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Hybrid Meta-heuristic Algorithms for Static and Dynamic Job Scheduling in Grid Computing
… is recognized as being one of the most important and challenging issues in grid computing environments. Similar to job scheduling in traditional computing systems, this allocation is known to be an NPhard problem. Meta-heuristic approaches such as the Genetic Algorithm (GA), Variable …
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Capacity Enhancement Approaches for Long Term Evolution networks: Capacity Enhancement-Inspired Self-Organized Networking to Enhance Capacity and Fairness of Traffic in Long Term Evolution Networks by Utilising Dynamic Mobile Base-Stations
… over the dynamic BTS network. It uses the ant-colony optimization algorithm (ACOA) to find the least path. A comparison between an optimized path and the un-optimized path showed huge gain in terms of delay, fair load sharing and the percentage of packet loss.
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Problem dependent metaheuristic performance in Bayesian network structure learning.
… of this thesis include (a) Two novel Ant Colony Optimization based search and score algorithms for BN structure learning; (b) Node juxtaposition distribution for studying the relationship between the best node ordering and the optimal BN structure; (c) Fitness landscape analysis for …