A non-convex Environmental Economic Loss Dispatch (NCEELD) is a constrained multi-objective optimization problem that has been solved for assigning generation cost to all the generators of power network with equality and inequality constraints. The objectives considered simultaneous are emission, economic load loss dispatch. valve-point loading, prohibiting operating zones ramp rate limit issue...

Breeding programs for sheep in Norway are based on cooperatives of ram circles (RC). The key features of RC are selection of rams across member flocks and their rotation among RC flocks during the mating season. Genetic gains are disseminated to flocks outside RC (ORC). In both groups, natural service and AI are practiced. The objectives were to investigate 1) connectedness within and across RC...

In this paper, the main objective is to identify the parameters of motors, which includes a brushless direct current (BLDC) motor and an induction motor. The motor systems are dynamically formulated by the mechanical and electrical equations. The real-coded genetic algorithm (RGA) is adopted to identify all parameters of motors, and the standard genetic algorithm (SRGA) and various adaptive gen...

In this paper, a real-coded genetic algorithm called DMLX-NUM is proposed to solve the problem of parameter optimization in medical image registration. It derived from LX-NUM algorithm. The composition of the algorithm is simple, and the method has no special requirements for generating the initial population. By this algorithm the ratio of registration success can be at 98%. The algorithm we a...

A new meta-heuristic algorithm is proposed for optimal design of reinforced concrete (RC) frame structures subject to combinations of gravity and lateral static loads based on ACI 318-08 design code. In the present work, artificial bee colony algorithm (ABCA) is focused and an improved ABCA (IABCA) is proposed to achieve the optimization task. The total cost of the RC frames is minimized during...

Through mechanism analysis of simple genetic algorithm(SGA),every genetic operator can be considered as a linear function. So some disadvantages of SGA may be solved if genetic operators are modified to nonlinear function. According to the above method, nonlinear genetic algorithm(NGA) is introduced. By the analysis of the concept of schema, new schema theorem is proved. The above work establis...