This chapter proposes a new method for determining the multilevel thresholding values for image segmentation. The proposed method considers the multilevel threshold as multi-objective function problem and used the whale optimization algorithm (WOA) to solve this problem. The fitness functions which used...
Finally, based on the analysis, the NSGA-II algorithm outperformed the MOWOA algorithm with a weighted value of 0.983 compared to 0.016, making it the selected algorithm.International Journal of Supply & Operations ManagementPourhassan, Mohammad RezaKhadem Roshandeh, Moham...
whale optimization algorithmmulti-objective optimizationcollision-free pathPath planning is an important part of the research field of mobile robots. How to plan more suitable paths more quickly has become a challenging optimization problem that requires consideration of several constraints and performance ...
Multi-objective optimization (MOO)Pareto frontWhale optimization algorithm (WOA)The sink nodes in large-scale wireless sensor networks (LSWSNs) are responsible for receiving and processing the collected data from sensor nodes. Identifying the locations of sink nodes in LSWSNs......
(MOSOS/D)56, MOGNDO Algorithm57, Non-dominated sorting moth flame optimizer (NSMFO)58, Non-dominated sorting whale optimization algorithm (NSWOA)59, Non-Dominated Sorting Dragonfly Algorithm (NSDA)60, a reference vector based multiobjective evolutionary algorithm with Q-learning for operator ...
Xu et al. [27] presented an intrusion detection model based on multi-objective feature selection using a binary whale optimization algorithm. The paper utilized four datasets from the UCI database. For dataset 1, the algorithm obtained 98.49% accuracy using less than half i.e. 5 features. Al...
Furthermore, the moth-flame optimization algorithm obtains better results than the whale optimization algorithm. Naidu et al. [18] used the firefly algorithm to determine the best thresholding to segment images using Shannon and Fuzzy entropies. The DE, PSO and Bat algorithms are used as compared...
Many real-world engineering problems need to balance different objectives and can be formatted as multi-objective optimization problem. An effective multi-objective algorithm can achieve a set of optimal solutions that can make a tradeoff between different objectives, which is valuable to further explore...
(MOSOS/D)56, MOGNDO Algorithm57, Non-dominated sorting moth flame optimizer (NSMFO)58, Non-dominated sorting whale optimization algorithm (NSWOA)59, Non-Dominated Sorting Dragonfly Algorithm (NSDA)60, a reference vector based multiobjective evolutionary algorithm with Q-learning for operator ...
Mirjalili S, Lewis A (2016) The whale optimization algorithm. Adv Eng Softw 95:51–67 MATH Google Scholar Srivastava A, Kumar N (2023) Multi-objective binary whale optimization-based virtual machine allocation in cloud environments. Int J Swarm Intell Res (IJSIR) 14(1):1–23 MATH Google...