Σύγκριση μεθόδων

	Agent-based Tabu Search	Αλγόριθμος Γενετικής Βασισμένος σε Πράκτορες
Πεδίο	Προσομοίωση	Προσομοίωση
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1989–1995	1990s
Δημιουργός	Glover, F. (tabu search); multi-agent extension by various researchers in the 1990s–2000s	Adamidis, P. & Petridis, V. (early formal treatment); broader community development in 1990s
Τύπος	Hybrid metaheuristic — agent-based distributed tabu search	Hybrid evolutionary-agent simulation
Θεμελιώδης πηγή	Glover, F. (1989). Tabu search — Part I. ORSA Journal on Computing, 1(3), 190–206.	Adamidis, P., & Petridis, V. (1996). Co-operating populations with different evolution behaviors. Proceedings of the IEEE International Conference on Evolutionary Computation (ICEC 1996), 188-191. IEEE.
Εναλλακτικές ονομασίες	ABTS, Multi-Agent Tabu Search, Distributed Tabu Search, Cooperative Tabu Search	ABGA, Agent-Based GA, Multi-Agent Genetic Algorithm, Distributed Agent GA
Συναφείς	4	5
Σύνοψη	Agent-Based Tabu Search (ABTS) embeds the tabu search metaheuristic inside a multi-agent framework where autonomous agents each run independent or cooperating tabu search threads, sharing promising solutions to escape local optima and collectively explore large combinatorial or continuous search spaces more effectively than a single-thread implementation.	An Agent-Based Genetic Algorithm (ABGA) partitions a genetic algorithm's population across a network of autonomous agents, each maintaining a local sub-population and evolving it independently. Agents periodically exchange individuals (migration) based on proximity or communication rules, enabling parallel exploration of the search space while preserving population diversity and avoiding premature convergence.