for any agency dealing with the design of the water distribution network, an economic design will be an objective. in this research, central force optimization (cfo) and differential evolution (de) algorithm were used to optimize ismail abad water distribution network. optimization of the network has been evaluated by developing an optimization model based on cfo and de algorithm in matlab and ...

Central Force Optimization is a deterministic metaheuristic for an evolutionary algorithm that searches a decision space by flying probes whose trajectories are computed using a gravitational metaphor. CFO benefits substantially from the inclusion of a pseudorandom component (a numerical sequence that is precisely known by specification or calculation but otherwise arbitrary). The essential req...

For any agency dealing with the design of the water distribution network, an economic design will be an objective. In this research, Central Force Optimization (CFO) and Differential Evolution (DE) algorithm were used to optimize Ismail Abad water Distribution network. Optimization of the network has been evaluated by developing an optimization model based on CFO and DE algorithm in MATLAB and ...

improvement in braking performance and vehicle stability can be achieved through the use of braking systems whose brake force distribution is variable. electronic braking force distribution has an important and serious role in the vehicle stopping distance and stability. in this paper a new approach will be presented to achieve the braking force distribution strategy for articulated vehicles. f...

Keywords: Extended/enhanced central force optimization (ECFO) Global optimization Convergence analysis Simple central force optimization (SCFO) Gravitational force a b s t r a c t Simple central force optimization (SCFO) algorithm is a novel physically-inspired optimization algorithm as simulating annealing (SA). To enhance the global search ability of SCFO and accelerate its convergence, a nov...

This note describes a simplified parameter-free implementation of Central Force Optimization for use in deterministic multidimensional search and optimization. The user supplies only the objective function to be maximized, nothing more. The algorithm’s performance is tested against a widely used suite of twenty three benchmark functions and compared to other state-ofthe-art algorithms. CFO perf...