AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation
نویسندگان
چکیده
منابع مشابه
An Adaptive Quantum-based Evolutionary Algorithm for Multiobjective Optimization
An Adaptive Quantum-based Multi-criterion Evolutionary Algorithm called AQMEA is a new paradigm of decision making for complex systems. Quantum-based algorithms utilize a new representation for the smallest unit of information, called a Q-bit, for the probabilistic representation that is based on the concept of qubits. Evolutionary computing with Q-bit chromosomes has a better characteristic of...
متن کاملAgent-based Evolutionary Multiobjective Optimisation
This work presents a new evolutionary approach to searching for a global solution (in the Pareto sense) to multiobjective optimisation problem. Novelty of the method proposed consists in the application of an evolutionary multi-agent system (EMAS) instead of classical evolutionary algorithms. Decentralisation of the evolution process in EMAS allows for intensive exploration of the search space,...
متن کاملMultiobjective Adaptive Representation Evolutionary Algorithm (MAREA) - a new evolutionary algorithm for multiobjective optimization
Many algorithms for multiobjective optimization have been proposed in the last years. In the recent past a great importance have the MOEAs able to solve problems with more than two objectives and with a large number of decision vectors (space dimensions). The difficulties occur when problems with more than three objectives (higher dimensional problems) are considered. In this paper, a new algor...
متن کاملAn Adaptive Penalty Scheme for Multiobjective Evolutionary Algorithm Based on Decomposition
The multiobjective evolutionary algorithm based on decomposition (MOEA/D) decomposes a multiobjective optimization problem into a number of sing-objective subproblems and solves them collaboratively. Since its introduction, MOEA/D has gained increasing research interest and has become a benchmark for validating new designed algorithms. Despite that, some recent studies have revealed that MOEA/D...
متن کاملAn Adaptive Quantum-based Multiobjective Evolutionary Algorithm for Efficient Task Assignment in Distributed Systems
Multi-criterion quantum programming is a new paradigm of decision making for complex systems. Quantum-based multiobjective algorithm utilizes a new representation, called a Q-bit, for the probabilistic representation that is based on the concept of qubits. Evolutionary computing with Q-bit representation has a better characteristic of population diversity than other representations, since it ca...
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: Information Sciences
سال: 2020
ISSN: 0020-0255
DOI: 10.1016/j.ins.2019.12.011