Whale Optimization Algorithms for Multi-Objective Flowshop Scheduling Problems
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Citations
An effective approach for total completion time minimization subject to makespan constraint in permutation flowshops
E. Pastore,A. Alfieri +1 more
- 07 Feb 2024
TL;DR: This study proposes two local search algorithms to minimize total completion time in permutation flowshops subject to a makespan constraint, achieving a good trade-off between work-in-process and system utilization through extensive computational testing on literature benchmark instances.
1
Hybridization of Whale Optimization Algorithm for Multi-objective Flow Shop Scheduling Problems
Cecilia Esti Nugraheni,Luciana Abednego,Craven S. Saputra +2 more
- 08 Dec 2023
TL;DR: Hybridization of Whale Optimization Algorithm for Multi-objective Flow Shop Scheduling Problems investigates the hybridization of Whale Optimization Algorithm (WOA) and Genetic Algorithm (GA) to solve Multi-objective Flow Shop Scheduling Problems (MOFSSP) with the objective criteria of makespan and total flow time. The proposed algorithm, $hg-WOA$, has four versions and outperforms the original WOA in solving multi-objective FSSP.
References
The Whale Optimization Algorithm
Seyedali Mirjalili,Andrew Lewis +1 more
TL;DR: Optimization results prove that the WOA algorithm is very competitive compared to the state-of-art meta-heuristic algorithms as well as conventional methods.
11.1K
Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments
TL;DR: The review presented in the paper has the potential to motivate expert researchers to propose more novel WOA-based algorithms, and it can serve as an initial reading material for a novice researcher.
250
Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study
TL;DR: Wang et al. as discussed by the authors proposed an enhanced whale optimization algorithm named E-WOA using a pooling mechanism and three effective search strategies named migrating, preferential selecting, and enriched encircling prey.
193
A novel enhanced whale optimization algorithm for global optimization
Sanjoy Chakraborty,Apu Kumar Saha,Sushmita Sharma,Seyedali Mirjalili,Seyedali Mirjalili,Ratul Chakraborty +5 more
TL;DR: Wang et al. as discussed by the authors proposed an enhanced WOA (WOAmM) method, where the mutualism phase from Symbiotic Organisms Search (SOS) is modified and integrated with WOA to alleviate premature convergence's inherent drawback.
160
An effective multi-objective discrete grey wolf optimizer for a real-world scheduling problem in welding production
TL;DR: This paper proposes a multi-objective discrete grey wolf optimizer (MODGWO) considering not only production efficiency but also machine load on this real-world scheduling case and compares it with well-known multi- objective evolutionary algorithms on a set of instances.
122