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Swarm Intelligence: being smart as a collective. Nyree Lemmens. Today's problems are getting increasingly complex while the resources to solve them are limited. You are expected to find the solutions to the problems. Without these solutions, progress will stop.
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Swarm Intelligence: being smart as a collective Nyree Lemmens
Today's problems are getting increasingly complex while the resources to solve them are limited
No progress?! You can't let that happen! Let's use Swarm Intelligence!
Localization is the problem of finding out an agent's location (in coordinates) relative to its environment
Navigation/Path Planning is the problem of deciding which route to take, based on and expressed in terms of the current (internal) representation of the terrain.
Routing is the problem of discovering and selecting paths in a network along which to send network traffic
Computer Science draws inspiration from the biological examples
Particle Swarm Optimization (PSO) draws inspiration from flocking and schooling
Ant Colony Optimization (ACO) draws its inspiration from ant foraging (best known example)
Bee Colony Optimization (BCO) alternatively draws its inspiration from bee foraging/nest selection
AntHocNet improves on current state of the art routing algorithms
Stigmergic Landmark Routing improves the performance even further
Stigmergic Landmark Routing creates a landmark route in a joint effort Stores list of nodes to get to goal