A review of heuristic near-optimum MuD for MC-CDMA systems

Larbi, N.; Debbat, Fatima; Stambouli, A. Boudghène

doi:10.1109/icmcs.2014.6911420

Cited by 4 publications

(3 citation statements)

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“…An important novelty of our FPA is the introduction of an scheme for fine-tuning the probability of change (P c ) in order to achieve and maintain diversity within the population of flowers. A well-known drawback of evolutionary algorithms is their tendency to converge to suboptimal solutions (Agarwal & Mehta, 2014;Larbi et al, 2014). This is in part due to the use of selection strategies relying directly on fitness values.…”

Section: Diversity Monitoring and Controlmentioning

confidence: 99%

“…The more advanced particle swarm optimization (PSO) (De Oliveira et al, 2006;Soo et al, 2007;Wang, 2014;Arani & Azmi, 2013;Kaur, 2016), cat swarm optimization (CSO) (Pradhan & Panda, 2012;Sohail et al, 2017;Balamurugan et al, 2018), the cuckoo search algorithm (CSA) (Agarwal & Mehta, 2014;Yang & Deb, 2014), ant-colony algorithms (ACO) (Hijazi & Natarajan, 2004;Lain & Lai, 2007;Xu et al, 2007;Marinello Filho et al, 2012) or the Flower Pollination Algorithm (FPA) (Yang, 2012;Balasubramani & Marcus, 2014;Pant et al, 2017;Abdel-Baset et al, 2017a;Abdel-Basset & Shawky, 2019), among others. See (Larbi et al, 2014) for an interesting list of references using heuristic methods in CDMA communication problems.…”

Section: Introductionmentioning

confidence: 99%

“…Existing literature reveals that the main drawbacks in solving real-world problems found in these metaheuristics are: computational complexity, slow convergence speed and suboptimal convergence to local minima, mainly due to the difficulty to maintain population diversity while iterations run, and the impossibility to detect and escape from these suboptimal solutions (Tan & Rasmussen, 2004;Agarwal & Mehta, 2014;Larbi et al, 2014;Arora & Anand, 2017;Sohail et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A new flower pollination algorithm for equalization in synchronous DS/CDMA multiuser communication systems

San‐José‐Revuelta

Casaseca‐de‐la‐Higuera

2020

Soft Comput

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Section: Diversity Monitoring and Controlmentioning

confidence: 99%