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Rinde van Lon's Projects

egui icon egui

egui: an easy-to-use immediate mode GUI in Rust that runs on both web and native

evo4mas icon evo4mas

Evolutionary algorithms for designing multi-agent systems for logistics.

indexmap icon indexmap

A hash table with consistent order and fast iteration; access items by key or sequence index

moon icon moon

Moon is a minimal, one column jekyll theme.

neatsim icon neatsim

There will be a description here at some time.

pdptw-dataset-generator icon pdptw-dataset-generator

Generator of datasets of scenarios of the dynamic pickup-and-delivery problem with time windows with varying levels of dynamism, urgency and scale.

rinecj icon rinecj

A wrapper for ECJ which simplifies configuration of genetic programming.

rinlog icon rinlog

RinLog is a collection of (agent) implementations for logistics problems.

rinsim icon rinsim

RinSim is a logistics simulator written in Java. RinSim supports (de)centralized algorithms for dynamic pickup-and-delivery problems (PDP). The simulator is developed at the imec-DistriNet group at the dept. of Computer Science, KU Leuven, Belgium.

thesis icon thesis

Source files for my master's thesis. Working on incorporating failures in RinSim.

vanlon15-prima-code icon vanlon15-prima-code

Code and results for demonstration experiment of Rinde R.S. van Lon and Tom Holvoet, Towards systematic evaluation of multi-agent systems in large scale and dynamic logistics. PRIMA 2015: Principles and Practice of Multi-Agent Systems, (2015).

vanlon16-ejor-code icon vanlon16-ejor-code

Code for 'Measures of dynamism and urgency in logistics', van Lon et al. (2016).

vanlon17-gpem-code icon vanlon17-gpem-code

Code for 'Optimizing agents with genetic programming - An evaluation of hyper-heuristics in dynamic real-time logistics'. Rinde R.S. van Lon, Juergen Branke, and Tom Holvoet. Genetic Programming and Evolvable Machines (2017).

vanlon17-jaamas-code icon vanlon17-jaamas-code

Code for 'When do agents outperform centralized algorithms? - A systematic empirical evaluation in logistics'. Rinde R.S. van Lon and Tom Holvoet. Journal of Autonomous Agents and Multi-Agent Systems (2017).

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