[PDF] Top 20 A Novel Adaptive Dragonfly Algorithm for Global Optimization Problems

... In the meta-heuristic algorithms, randomization play a very important role in both exploration and exploitation where more strengthen randomization techniques are Markov chains, Levy flights and Gaussian or normal ... See full document

... the global optimum by swimming without ...and global optimal orientation can be obtained by choosing intermediate ...an adaptive chemotaxis step strategy as following: ... See full document

... tion. Usually, based on both the control parameter F and the selected multiple parents, using these DE schemes can only generate a vector after a single mutation. Tsutsui et al. [17] proposed a multi-parent recombination ... See full document

... exploitation. Adaptive technique causes faster convergence, randomness, and stochastic behavior for improving ...solutions. Adaptive technique also used for random walk in search space when no neighboring ... See full document

... on algorithm iteration number and in terms of accuracy for all test ...that adaptive fuzzy logic approach consumed more computer CPU time and consequently resulted in lower speed of ...proposed ... See full document

... Universities of Leeds, Sheffield and York http://eprints.whiterose.ac.uk/ This is an author produced version of a paper published at the 11th IEEE International Conference on Cybernetic [r] ... See full document

... big, global one, which emerges globally intelligent behavior from the local interactions, associations and self-organizations of the swarm ...colony optimization (ACO), particle swarm optimization ... See full document

... On the other hand, Saleem and Reynolds [42] presented us that CAs naturally contain self-adaptive components. The belief space in CA is dynamic, which makes CA suitable for tracking optima in dynamically changing ... See full document

... the global optimization ability of CS algorithm extremely ...CS algorithm learns from the reproductive behavior of the cuckoo, defines the probability that the cuckoo egg will be spotted by ... See full document

... colony algorithm for global optimization problems have introduced the artificial bee colony algorithm is a new swarm intelligence technique inspired by intelligent foraging behavior of ... See full document

... an adaptive protocol for IWSNs, called Breath, which ensured a desired packet delivery and delay probabilities while minimizing the energy consumption of network where the reliability of the packet were treated as ... See full document

... AMO algorithm, we modified the algorithm by using a new migration ...MAMO algorithm has strong global searching ability and local optimization ability, MAMO has improved the convergence ... See full document

... swarm optimization (PSO), proposed by Kennedy and Eberhart [5-6] in 1995 is a new, self- adaptive global optimization algorithm based on the swarm behavior of birds and fish, In the ... See full document

... unconstrained optimization problems, and were improved later by means of constraint-handling techniques for more difficult constrained optimization problems ...fast optimization method ... See full document

... CSS algorithm. Since the weight which can balance the global and local search ability is an important parameter in many heuristic algorithms, we introduce weight in probe’s position updated ...the ... See full document

... Classical methods often face great di ffi culties in solving optimization problems. In order to overcome the shortcomings of traditional mathematical techniques, nature-inspired soft com- puting algorithms ... See full document

... Cosine Algorithm have an ability to find out optimum solution with constrained handling which includes both equality and inequality ...exploitation. Adaptive technique causes faster convergence, randomness, ... See full document

... intelligent optimization algorithms have been applied to engineering function optimization problems ...biomimetic optimization algorithms are GA, SA, ABC, ACO, PSO and DE ...search ... See full document

... steiner problems in graphs using weight perturbation and adaptive path relinking heuristic (HGP-PR) ...discrete optimization to continuous global optimization ...gradient ... See full document

... issues. Novel social spider algorithm is used to enhance Image Segmentation for worldwide improvement ...spider algorithm is assessed by a progression of broadly utilized benchmark capacities and our ... See full document