At present, energy generation is evolving into a smart distribution system that assimilates
several green energy resources at a distributed level assuring to generate clean energy …

The optimization problems are becoming more complicated, requiring new and efficient
optimization techniques to solve them. Many bio-inspired meta-heuristic algorithms have …

The operation conditions of the rotating machinery are always complex and variable, which
makes it difficult to automatically and effectively capture the useful fault features from the …

Due to the widespread use of the internet, computer systems are prone to information theft
that has led to the emergence of Intrusion Detection Systems (IDSs). Various approaches …

Bio-inspired computing represents the umbrella of different studies of computer science,
mathematics, and biology in the last years. Bio-inspired computing optimization algorithms is …

In this study we present a new and effective grouping optimization algorithm (namely, the
Turbulent Flow of Water-based Optimization (TFWO)), inspired from a nature search …

Scientists have long looked to nature and biology in order to understand and model
solutions for complex real-world problems. The study of bionics bridges the functions …

To better reflect the uncertainty existing in the actual disassembly environment, the multi-
objective disassembly line balancing problem with fuzzy disassembly times is investigated …

To maximize the reliability of a system, the traditional reliability–redundancy allocation
problem (RRAP) determines the component reliability and level of redundancy for each …

Modern industry requires components and systems with high reliability levels. In this paper,
we address the system reliability optimization problem. A penalty guided stochastic fractal …