Title:
Support new natural inspired algorithm - Whale Optimization Algorithm (WOA)
Objective:
To Support WOA algorithm in jMetalCPP Core.
Motivation:
Whale Optimization Algorithm (WOA) is a novel nature-inspired meta-heuristic optimization algorithm, which mimics the social behavior of humpback whales. The algorithm is inspired by the bubble-net hunting strategy. WOA results are very competitive compared to the state-of-art meta-heuristic algorithms as well as conventional methods.
Source:
The source codes of the WOA algorithm are publicly available at http://www.alimirjalili.com/WOA.html
Title:
Support new natural inspired algorithm - Whale Optimization Algorithm (WOA)
Objective:
To Support WOA algorithm in jMetalCPP Core.
Motivation:
Whale Optimization Algorithm (WOA) is a novel nature-inspired meta-heuristic optimization algorithm, which mimics the social behavior of humpback whales. The algorithm is inspired by the bubble-net hunting strategy. WOA results are very competitive compared to the state-of-art meta-heuristic algorithms as well as conventional methods.
Source:
The source codes of the WOA algorithm are publicly available at http://www.alimirjalili.com/WOA.html