Quantum-inspired metaheuristic algorithms: comprehensive survey and classification
FS Gharehchopogh - Artificial Intelligence Review, 2023 - Springer
Metaheuristic algorithms are widely known as efficient solutions for solving problems of
optimization. These algorithms supply powerful instruments with significant engineering …
optimization. These algorithms supply powerful instruments with significant engineering …
AI meets physics: a comprehensive survey
Uncovering the mechanisms of physics is driving a new paradigm in artificial intelligence
(AI) discovery. Today, physics has enabled us to understand the AI paradigm in a wide …
(AI) discovery. Today, physics has enabled us to understand the AI paradigm in a wide …
MFO-SFR: An enhanced moth-flame optimization algorithm using an effective stagnation finding and replacing strategy
Moth-flame optimization (MFO) is a prominent problem solver with a simple structure that is
widely used to solve different optimization problems. However, MFO and its variants …
widely used to solve different optimization problems. However, MFO and its variants …
A multiobjective evolutionary algorithm based on decision variable analyses for multiobjective optimization problems with large-scale variables
State-of-the-art multiobjective evolutionary algorithms (MOEAs) treat all the decision
variables as a whole to optimize performance. Inspired by the cooperative coevolution and …
variables as a whole to optimize performance. Inspired by the cooperative coevolution and …
Boosting quantum rotation gate embedded slime mould algorithm
The slime mould algorithm is an interesting swarm-based algorithm proposed in 2020 based
on this entity's trajectory finding abilities in nature. It simulates slime mould movement …
on this entity's trajectory finding abilities in nature. It simulates slime mould movement …
DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization
Differential evolution (DE) is a fast and robust evolutionary algorithm for global optimization.
It has been widely used in many areas. Biogeography-based optimization (BBO) is a new …
It has been widely used in many areas. Biogeography-based optimization (BBO) is a new …
A maximal clique based multiobjective evolutionary algorithm for overlap** community detection
Detecting community structure has become one important technique for studying complex
networks. Although many community detection algorithms have been proposed, most of …
networks. Although many community detection algorithms have been proposed, most of …
Quantum-inspired evolutionary algorithms: a survey and empirical study
G Zhang - Journal of Heuristics, 2011 - Springer
Quantum-inspired evolutionary algorithms, one of the three main research areas related to
the complex interaction between quantum computing and evolutionary algorithms, are …
the complex interaction between quantum computing and evolutionary algorithms, are …
Exploratory power of the harmony search algorithm: analysis and improvements for global numerical optimization
The theoretical analysis of evolutionary algorithms is believed to be very important for
understanding their internal search mechanism and thus to develop more efficient …
understanding their internal search mechanism and thus to develop more efficient …
Enhanced differential evolution with adaptive strategies for numerical optimization
Differential evolution (DE) is a simple, yet efficient, evolutionary algorithm for global
numerical optimization, which has been widely used in many areas. However, the choice of …
numerical optimization, which has been widely used in many areas. However, the choice of …