This paper proposes the multi-objective variant of recently-introduced fitness dependent optimizer (FDO). The algorithm is called a (MOFDO) and equipped with all five types knowledge (situational, normative, topographical, domain, historical knowledge) as in FDO. MOFDO tested on two standard benchmarks for performance-proof purpose: classical ZDT test functions, which widespread suite that take...

Population growth, industrial development as well limited fossil fuel resources have motivated the study of other energies, especially nuclear energy. Small modular reactors been introduced an efficient energy source due to their greater safety, easy transport, electricity generation and water desalination, even in remote areas. Optimization management improve performance save leads cost-effect...

This paper proposes a novel nature-inspired optimization algorithm called the Fox optimizer (FOX) which mimics foraging behavior of foxes in nature when hunting preys. The is based on techniques for measuring distance between fox and its prey to execute an efficient jump. After presenting mathematical models FOX, five classical benchmark functions CEC2019 test are used evaluate it’s performance...

A total of 12 dragonfly species were recorded at Vlačine Reservoir in the Dinaric Western Balkan region (ER 5) in Croatia. Habitat conditions, i.e. vegetation structure and physico-chemical water properties of the reservoir, are presented and discussed. Habitat conditions were suitable for life cycle completion of Mediterranean species such as Lindenia tetraphylla and Selysiothemis nigra. Exuvi...