An ensemble of local search algorithms are discussed and analyzed, having different initial landscape perspectives as starting point - the conformational sampling problem is considered as a case study. Grid enabled hierarchical and multistage distributed evolutionary algorithms have been addressed in previous studies, combining complementary techniques and relying on different coordination models. For algorithmic constructions following the aforementioned outlines, the per se exploration results in an emergent behavior of the system. Nevertheless, in order to encompass a large spectrum of exploration characteristics and to harness the complete power of the combined techniques, landscape analysis has to be employed for guiding the exploration process. Due to the high complexity of real-life applications, landscape analysis represents a foreword measure in this direction, providing the means for adapting the exploration process as determined by the search landscape structure.