This study then proposes an improved multi-objective whale optimization algorithm (IMOWOA) to solve the MOHFSP-DRP and obtain the Pareto-based optimal solution set. After that, to verify the proposed method's effectiveness, numerical experiments are implemented based on the real-world cases in a...
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 (...
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 (...
Therefore, in this paper, a service placement method is presented by considering end-to-end delay criteria and energy consumption based on the modified Harris hawks algorithm to solve multi-objective problems. To increase accuracy, in the proposed method called multi-objective Harris hawks ...
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...
Beluga Whale Optimization (BWO) is a new metaheuristic algorithm that simulates the social behaviors of beluga whales swimming, foraging, and whale falling. Compared with other optimization algorithms, BWO shows certain advantages in solving unimodal and multimodal optimization problems. However, the conv...
The team used polynomial fitting technology to construct the objective function, and then integrated fuzzy adjustments on the basis of the multi-objective whale optimization algorithm to form a fuzzy adjusted multi-objective Whale optimization algorithm (FTMOWOA), optimize the load and hydrogen ...
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...
A real distribution network voltage regulation incorporating auto-tap-changer pole transformer multi-objective optimization. Appl Sci 2019;9:2813. https://doi.org/10.3390/app9142813.Search in Google Scholar 6. Swarup, KS. Genetic algorithm for optimal capacitor allocation in radial distribution systems...