To cope with the potential shortcomings of classical fruit fly optimization algorithm (FOA), a
new version of FOA with Gaussian mutation operator and the chaotic local search strategy …

The fruit fly optimization algorithm (FOA) is a well-regarded algorithm for searching the
global optimal solution by simulating the foraging behavior of fruit flies. However, when …

The fruit fly optimization algorithm (FOA) is a swarm-based algorithm inspired by fruit flies'
food search behaviors in nature. The conventional FOA is attracting widespread interests …

Fruit fly optimization algorithm (FOA) is a well-established meta-heuristic method with a clear
core concept, a straightforward computation, and a code framework that is easy to build. In …

To solve both continuous function optimization and clustering parameter problems, the novel
fruit fly optimization algorithm with trend search and co-evolution (CEFOA) was proposed. It …

The inverse kinematics of redundant manipulators is one of the most important and
complicated problems in robotics. Simultaneously, it is also the basis for motion control …

The original fruit fly optimizer (FOA) has two core disadvantages: slow convergence speed
and low solution quality. Furthermore, fruit fly optimizer tends to skip the optimal optimum …

To improve the efficiency of the structural optimization design in truss calculation, an
improved fruit fly optimization algorithm was proposed for truss structure optimization. The …

In recent years, edge computing (EC) has been widely studied as a new computing
paradigm which extends cloud computing. It paves the way to further reduce the network …

To solve the problem of automatic recharging path planning for cleaning robots in complex
industrial environments, this paper proposes two environmental path planning types based …