… This paper combines the individual clustering techniques and MOCell algorithm, and puts
forward a multi-objective cellular memetic algorithm (MOCMA) based on k-means clustering …

… A memetic algorithm uses the notion of meme(s) as units of … memetic algorithm, we can
greatly accelerate the rate of convergence of the multi-objective coverage optimization algorithm …

… [12] introduced a multi-objective genetic algorithm (MOGA) for optimizing path planning in
terms of path length and difficulty in autonomous mobile robots, where predefined input weight …

… Concerning the prior method, a multi-objective issue is merged into a mono-objective …
by utilizing a cellular structure. Therefore, a multi-objective cellular memetic algorithm (MOCMOA) …

… wireless sensor network, the greedy algorithm can easily fall into the local optimal solution,
whereas the genetic algorithm … a multi-objective coverage optimization memetic algorithm (…

… This paper investigates hybridization of multi-objective memetic algorithm and artificial
immune system (AIS) for the Frequency Assignment Problem (FAP) in cellular mobile networks. …

… In addition, we suggest a novel memetic algorithm for multi-objective optimization in order
to solve the problem. Experimental results highlight the efficiency of the proposed approach …

… We extend our proposed adaptive memetic algorithm LA-DE to the multi-objective framework
by incorporating DEMO’s selection criteria. In comparison to LA-DE, LA-DEMO updates the …

… multi-objective optimization; in [16] a novel class of structured population for MAs, namely
Cellular … If m = 1 the problem is single-objective, while for m > 1 the problem is multi-objective. …

… searches into an existing IMOEA, and propose a memetic algorithm (MA) to tackle IMOPs. At
… Sun, “A memetic algorithm for multi-objective optimization problems with interval parameters…