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...
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......
objective heat transfer search (MOHTS/D)55, Decomposition-Based Multi-Objective Symbiotic Organism Search (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 (...
1 Multi-objective immune algorithm [23] Convergence speed of classification and classification accuracy NSL-KDD and UNSW-NB15 GHSOM-pr 2 Binary Whale Optimization Algorithm [27] Classification accuracy and dimensional reduction KDD CUP 99 SVM 3 Elephant Herd optimization algorithm based on Levy Flight...
However, a multi-objective optimization algorithm aims to optimize many objective functions that usually clash. The multi-objective optimization algorithms give a solution set that has a balance between the objective functions. This set which consists of non-dominated solutions is named Pareto Front (...
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...
The whale optimization algorithm (WOA) is a swarm intelligence optimization algorithm developed by Mirjalili and Lewis in 2016 based on the foraging behavior of whales. Because of its simplicity and high efficiency, scholars have adopted this algorithm to address various problems in different...
objective heat transfer search (MOHTS/D)55, Decomposition-Based Multi-Objective Symbiotic Organism Search (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 (...
Cai X, Li Y, Fan Z, Zhang Q (2014) An external archive guided multiobjective evolutionary algorithm based on decomposition for combinatorial optimization. IEEE Trans Evol Comput 19(4):508–523 Chakraborty S, Saha AK, Chakraborty R, Saha M (2021) An enhanced whale optimization algorithm for ...