ABSTRACT: Firefly algorithm is the new intelligent algorithm used for all complex engineering optimization problems. Power system has many complex optimization problems one of which is the optimal ...

Moreover, the introduction of novel hybrid evolutionary algorithms for bi-objective problems, such as those addressing time and cost trade-offs in travelling salesman scenarios, has expanded the ...

Multi-Objective evolutionary algorithms (MOEAs) are popular for solving complex optimization problems with multiple objectives and they have gained much success in benchmark competitions as well as ...

Keywords: evolutionary computation, constrained optimization, sequence optimization, co-evolutionary algorithms, multi-obj ective optimization problems. Citation: Zhang J, Yue H, Wang Y, Guo R and ...

Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better address ...

Keywords: multi-objective optimization, sparse Gaussian process, surrogate model, adaptive grid multi-objective particle swarm optimization algorithm, wind power engineering Citation: Chen Y, Wang L ...

This code corresponds to the article "J. Zou, Z. Hou, S. Jiang, S. Xiang et al., 'Knowledge Transfer With Mixture Model in Dynamic Multi-Objective Optimization,' in IEEE Transactions on Evolutionary ...