A Hybrid NSGA-II Algorithm for Multiobjective Quadratic Assignment Problems
نویسندگان
چکیده
منابع مشابه
Hybrid Ant System Algorithm for Solving Quadratic Assignment Problems
-In this paper a hybrid variant of meta-heuristic algorithm ant colony optimization (ACO) is used. Approximate solutions to quadratic assignment problem have been proved very efficient. Different variants of ant colony optimization have been applied to QAP. But in this paper a hybrid approach is proposed which is combination of Ant system and Max-Min Ant system to take benefits of both the meth...
متن کاملA Fast Elitist Multiobjective Genetic Algorithm: Nsga-ii
NSGA ( [5]) is a popular non-domination based genetic algorithm for multiobjective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGAII ( [3]) was developed, which has a better sorting algorithm , incorporates elitism...
متن کاملA fast and elitist multiobjective genetic algorithm: NSGA-II
Multiobjective evolutionary algorithms (EAs) that use nondominated sorting and sharing have been criticized mainly for their: 1) ( ) computational complexity (where is the number of objectives and is the population size); 2) nonelitism approach; and 3) the need for specifying a sharing parameter. In this paper, we suggest a nondominated sorting-based multiobjective EA (MOEA), called nondominate...
متن کاملA Hybrid Ant Colony Algorithm for Quadratic Assignment Problem
Quadratic assignment problem (QAP) is one of fundamental combinatorial optimization problems in many fields. Many real world applications such as backboard wiring, typewriter keyboard design and scheduling can be formulated as QAPs. Ant colony algorithm is a multi-agent system inspired by behaviors of real ant colonies to solve optimization problems. Ant colony optimization (ACO) is one of new ...
متن کاملA Hybrid Genetic Algorithm for the Quadratic Assignment Problem
A heuristic technique that combines a genetic algorithm with a Tabu Search algorithm is applied to the Quadratic Assignment Problem (QAP). The hybrid algorithm improves the results obtained through the application of each of these algorithms separately. The QAP is a NP-hard problem and instances of size n > 15 are still considered intractable. The results of our experiments suggest that CHC com...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Acta Physica Polonica A
سال: 2017
ISSN: 0587-4246,1898-794X
DOI: 10.12693/aphyspola.132.959