We spend our days minimizing and maximizing. What is the least I can pay for this car? How
much will the IRS let me get away with? What is the best way to get to work, the road or the …

… This paper describes a novel search algorithm, called dynamic hill climbing, that borrows …
hill climbing techniques. Unlike both genetic and hill climbing algorithms, dynamic hill climbing …

… Due to highly dynamic and unpredictable workload of such … Then the stochastic hill climbing
algorithm is used as a search … version of hill climbing algorithm named Smart Hill Climbing, …

… MA to improve its performance in dynamic environments. The effect of … hill climbing strategies
investigated in this paper. Section 3 introduces a series of DOPs generated by a dynamic …

… a depth-first search using hill-climbing strategies and dynamic programming techniques are
… We also propose some hill-climbing strategies in order to produce a good trade-off between …

… A comparison study of hill climbing simulated annealing and … inspired algorithm with β-hill
climbing." Applied Intelligence 48… with adaptive hill climbing strategy for dynamic optimization …

… such states by using the trajectory obtained from Hill Climbing (HC) the current estimate of
… gradient algorithm for hill climbing, and highlight a connection to Langevin dynamics. We …

… In this paper we show the advantage of combining a dynamic hill climbing local search
heuristic and the relaxation of size constraint with Genetic Algorithms to solve the circuit …

… the P&O and the INC hill-climbing MPPT algorithms. These … employed for implementing
hill-climbing MPPT algorithms: … duty ratio perturbation hillclimbing MPPT implementation …

In this paper it will be demonstrated how genetic algorithms can be used with experimentally
determined frequency response function data to identify finite element models of structures …