Particle swarm optimization comes under lot of changes after James Kennedy and Russell Eberhart first proposes the idea in 1995. The changes has been done mainly on Inertia parameters in velocity updating equation so that the convergence rate will be higher. We are proposing a novel approach where particle’s movement will not be depend on its velocity rather it will be decided by constrained bi...

Swarm-based algorithms are inspired by the behavior of some social living beings, such as ants, termites, birds, and fishes. Self-organization and decentralized control are remarkable features of swarm-based systems that, such as in nature, lead to an emergent behavior. Emergent behavior is a property that emerges through local interactions among system components and it is not possible to be a...

J. Kennedy and R. Eberhart first introduced the concept called as Particle Swarm Optimization (PSO). They applied it to optimize continuous nonlinear functions and demonstrated the effectiveness of the algorithm. Since then a considerable number of researchers have attempted to apply this concept to a variety of optimization problems and obtained reasonable results. In PSO, individuals communic...

The variation in animal mating systems has received a great deal of attention from behaviorists and evolutionary biologists alike (Shuster & Wade 2003). Polyandry, the mating of a single female with multiple males, is evolutionarily derived (Hughes et al. 2008) and relatively rare in social insects (Strassmann 2001). Modest polyandry has evolved in Vespula wasps (Ross 1986; Foster & Ratnieks 20...

© 2015 Harborside Press® Molecular biomarkers are increasingly being utilized as both prognostic and predictive tools in the care of patients with cancer. Testing for alterations in biomarkers is currently considered the standard of care in a growing number of cancers, including breast, lung, leukemia, and colorectal. Recently updated National Comprehensive Cancer Network (NCCN) guidelines reco...

The article gives a comprehensive assessment of 5 varieties (Lada, Agata, RIMA, Arcea, Maestro) and breeding lines spring soft wheat according to the yield adaptive properties. studies were carried out in 2018-2022 conditions Ryazan region on dark gray forest soil. potential for productivity adaptability was determined method L. A. Zhivotkov et al., degree variation (СV, %) – B. Dospekhov, rang...

productivity in drylands Indonesia. Trials of hybrid maize candidates several locations and different seasons are highly needed to determine the stability prior commercial release. The objectives research were: (1) evaluate performance hybrids seasons; (2) assess early-maturing grain yield characteristics genotypes evaluated (3) that can be released as new superior/elite varieties. was conducte...

Genotype environment interaction and stability performance were investigated on grain yield per plot in eight environments during Rabi (here, rabi means that a crop has been grown season: crops are sown winter harvested spring the Indian subcontinent) 2019–2020 2020–2021 using 100 diverse wheat genotypes. Research was conducted at Chaudhary Charan Singh Haryana Agricultural University, Hisar, I...

This paper addresses an allocation problem and proposes a solution using a swarm intelligence method. The application of swarm intelligence has to be discrete. This allocation problem can be modelled as a multiobjective optimization problem where the authors minimize the time and the distance of the total travel in a logistic context. This study uses a hybrid Discrete Particle Swarm Optimizatio...