Iteration strategy and ts effect towards the performance of population based metaheuristics

• Main Authors: Nor Azlina, Ab. Aziz, Nor Hidayati, Abdul Aziz, Azlan, Abd Aziz, Tasiransurini, Abdul Rahman, Wan Zakiah, Wan Ismail, Zuwairie, Ibrahim
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery; TK Electrical engineering. Electronics Nuclear engineering; TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/42432/1/Iteration%20strategy%20and%20its%20effect%20towards%20the%20performance.pdf; http://umpir.ump.edu.my/id/eprint/42432/2/Iteration%20strategy%20and%20its%20effect%20towards%20the%20performance%20of%20population%20based%20metaheuristics_ABS.pdf; http://umpir.ump.edu.my/id/eprint/42432/; https://doi.org/10.1109/ICSPC50992.2020.9305789
• Institution: Universiti Malaysia Pahang Al-Sultan Abdullah

Metaheuristics algorithms solve optimization problems by repeating a set of procedures. The algorithms can be categorized based on number of agents, either single agent algorithms which are also known as single solution metaheuristics or multi agents algorithms, also known as population-based metahe...