We present a new hybrid constraint solving schema which retains some systematicity of constructive search while incorporating the heuristic guidance and lack of commitment to variable assignment of local search. Our method backtracks through a space of complete but possibly inconsistent solutions while supporting the freedom to move arbitrarily under heuristic guidance. The version of the schem...

A system of nonlinear asset flow differential equations (AFDE) gives rise to an inverse problem involving optimization of parameters that characterize an investor population. The optimization procedure is used in conjunction with daily market prices and net asset values to determine the parameters for which the AFDE yield the best fit for the previous n days. Using these optimal parameters the ...

The only technique available for solving many important problems is searching. Since searching can be extremely costly, it is important to identify features that improve the efficiency of aearch algorithms. We compute the efficiency of simple backtracking, of an algorithm similar to backtracking except that it notices when the predicate is empty instead of noticing when it is unsatlsfiable (the...

This paper presents an improved backjumping algonthm for the constraint satisfaction problem, namely conflictdirected backjumping (CBJ). CBJ is then modified such that it can detect infeasible values and removes them from the domains of variables once and for all. A similar modification is then made to Gaschnig's backjumping routine BJ and to Haralick and Elliott's forward checking routine FC. ...

This paper introduces a new variant of the Backtracking Search Optimization Algorithm (BSA) in order to improve the quality of the solutions found by the algorithm. The proposed algorithm is called Idol-Guided Backtracking Search Optimization Algorithm (IG-BSA): it uses the historical population defined in BSA to build and update a set of idols taken from several previous generations, and the c...

Nowadays, quality improvement and increased accessibility to patient data, at a reasonable cost, are highly challenging tasks in healthcare sector. Internet of Things (IoT) Cloud Computing (CC) architectures utilized the development smart systems. These entities can support real-time applications by exploiting massive volumes produced wearable sensor devices. The advent evolutionary computation...

The determination of photovoltaic (PV) parameters is great importance for the reliability solar system operation, continuity load power consumption, and control management energy source. Therefore, this study proposes an advanced backtracking search optimization algorithm (BSA) equipped with teaching learning-based (TLBO), named TLBOBSA, to accurately simulate PV model. During evaluation propos...