For editorial issues, like the status of your submitted paper or proposals, write to editorial iospress. So, it can be considered as an adaptive learning rate. get paid for writing quotes If you need to make more complex queries, use the tips below to guide you. Benchmark functions Tables 1—3 represent the benchmark functions used in our experimental study. However, GSA is memory-less and only the current position of the agents plays a role in the updating procedure.

In this case, member operations including randomized search, positive feedback, neg- ative feedback and multiple interactions, conduct to a self-organization situation [5]. However, GSA is memory-less and only the current position of the agents plays a role in the updating procedure. speech writing service tips for weddings The crossover and mutation probabilities were set to 0. Conclusion In recent years, various Heuristic optimization methods have been developed. CFO is a deterministic search algorithm and its performance is highly dependent on the initial population generation and the size of the population.

Khorrami, Effective time variation of G in a model universe with variable space dimension, Physics Letters — Acknowledgements The authors would like to thank the INS Editorial Board and the anonymous reviewers for their very helpful suggestions. These steps have usually stochastic forms, and could be realized in different ways. graduate school essay writing service now CFO is deterministic and hence has the same results for each run.

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General principle of GSA. In other words, an algorithm may solve some problems better and some problems worse than others [35]. In order to evaluate our algorithm, we have examined it on a set of various standard benchmark functions. Information Sciences — Contents lists available at ScienceDirect Information Sciences journal homepage:

Walker, Fundamentals of physics, John Wiley and Sons, Therefore, in some problems, accel- eration may be very high and probes go out of the search space. Stan- dard general relativity also assumes the equivalence of inertial mass and active gravitational mass; this equivalence is sometimes called the strong equivalent principle [18]. Experimental results To evaluate the performance of our algorithm, we applied it to 23 standard benchmark functions [36]. It is one of the four fundamental interactions in nature [30] the others are:

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Kbest is a function of time, with the initial va- lue K0 at the beginning and decreasing with time. The gravitational force, Fij, that acts on mass i by mass j, is proportional to the product of the active gravitational of mass j and passive gravitational of mass i, and inversely proportional to the square distance between them. essay custom writing examples english Khorrami, Effective time variation of G in a model universe with variable space dimension, Physics Letters — Walker, Fundamentals of physics, John Wiley and Sons, Experimental results To evaluate the performance of our algorithm, we applied it to 23 standard benchmark functions [36].

An object with large inertial mass changes its motion more slowly, and an object with small inertial mass changes it rapidly. The parameters of GSA are set as the previous section. help me write essay dialogue The law of gravity The gravitation is the tendency of masses to accelerate toward each other.

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However, Formato [9,10] has proposed a deterministic heuristic search algorithm based on the metaphor of gravitational kinematics that is called Central Force Opti- mization, CFO. The GSA could be considered as an isolated system of masses. Various heuristic approaches have been adopted by researches so far, for example Genetic Algorithm [32], Simulated Annealing [21], Ant Colony Search Algorithm [5], Particle Swarm Optimization [17], etc.

Rashedi, Edge detection using ant algorithms, Soft Computing 10 — Inertial mass, Mi, is a measure of an object resistance to changing its state of motion when a force is applied. The GSA could be considered as an isolated system of masses. The parameters of GSA are set as the previous section. However, all population-based search algorithms provide satisfactory results but there is no heuristic algorithm that could provide a superior performance than others in solving all optimizing problems.