Krahasoni metodat

	Ftohja e Simuluar	Evolucioni Diferencial
Fusha	Optimizimi	Optimizimi
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	1983	1997
Krijuesi	—	Rainer Storn & Kenneth Price
Lloji	Probabilistic metaheuristic / local search	Population-based stochastic metaheuristic
Burimi themelues	Kirkpatrick, S., Gelatt, C.D. & Vecchi, M.P. (1983). Optimization by Simulated Annealing. Science, 220(4598), 671-680.	Storn, R. & Price, K. (1997). Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces. Journal of Global Optimization, 11(4), 341–359.
Emërtime të tjera	Benzetimli Tavlama (Simulated Annealing), SA, probabilistic local search	DE algorithm, Diferansiyel Evrim (DE), DE optimization
Të lidhura	5	5
Përmbledhja	Simulated annealing is a probabilistic local-search metaheuristic introduced by Kirkpatrick, Gelatt, and Vecchi in 1983. It models the physical annealing process in metallurgy — where a material is heated and then slowly cooled to reach a low-energy crystalline state — and uses this analogy to escape local optima in combinatorial and continuous optimization problems.	Differential Evolution (DE), introduced by Rainer Storn and Kenneth Price in 1997, is a population-based stochastic optimisation algorithm designed for continuous parameter spaces. It generates candidate solutions by combining vector differences between existing population members, making it a powerful and parameter-lean alternative to Genetic Algorithms and Particle Swarm Optimisation when the search landscape is non-convex, multimodal, or poorly suited to gradient-based methods.