Memetic Search in Differential Evolution Algorithm

Understand

Differential Evolution (DE) is a renowned optimization stratagem that can easily solve nonlinear and comprehensive problems.

• DE is a well known and uncomplicated population based probabilistic approach for comprehensive optimization.
• It has apparently outperformed a number of Evolutionary Algorithms and further search heuristics in the vein of Particle Swarm Optimization at what time of testing over both yardstick and actual world problems.
• Nevertheless, DE, like other probabilistic optimization algorithms, from time to time exhibits precipitate convergence and stagnates at suboptimal position.