This paper proposes a new multiobjective evolutionary algorithm (MOEA) by extending the
existing cat swarm optimization (CSO). It finds the nondominated solutions along the search …

There are many diverse fields and applications such as data mining, engineering,
operations research, economics, and science can be formulated as multi-objective …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

Purpose Healthcare failure mode and effect analysis (HFMEA) identifies potential risks and
defines preventive actions to reduce the effects of risks. In addition, a discrete event …

Many practical optimization problems are with the existence of uncertainties, among which a
significant number belong to the dynamic optimization problem (DOP) category in which the …

To address the challenge of parameter adjustment in complex environments, this paper
introduces a transfer learning‐based parameter control framework via deep reinforcement …

Quantization is a main factor which affects the performance of the JPEG compression.
Compression ratio and the quality of the decoded images are both determined by …

Data mining technology has been applied in many fields. Prototype-based cluster analysis is
an important data mining method, but its ability to discover knowledge is limited because of …

Aiming at the disadvantage that (Firefly Algorithm) FA is easy to fall into local
optimum,(Modified Firefly Algorithms) MFA is proposed. By controlling the step factor α, the …