… deficiencies of traditional evolution algorithm fitness function, … wireless sensor networks
coverage optimisation. Secondly, it … selection in evolution algorithms on the optimisation results …

… A new approach based on calculation between simple attributes and NPV is proposed to
optimise well placement in terms of NPV. This approach allows to reduce considerably number …

… harvested the algorithm was not compared to other methods. In this paper, we develop a
new hybrid Evolutionary framework for simultaneously optimising both placement and PTO …

… To handle this problem, we propose a new hybrid cooperative co-evolution algorithm (… a
cooperative co-evolution algorithm (CC) with a backtracking strategy for optimising the positions …

… Evolution Strategy (CMA-ES) using five different optimisation cases. The 1st and 2nd cases
are well placement and trajectory optimisation, … The 3rd Case is well control optimisation with …

… of integrated evolutionary algorithms based for solving the capacitor placement optimisation
problem with reduced annual operating cost. Differential evolution and pattern search (DE-…

… , specifically on its initial placement and resource optimization … evolutionary algorithms.
Experimental results demonstrate the efficiency and the scalability of the proposed algorithms…

… placement under field constraints is presented that use a constrained space-filling experimental
design, genetic algorithm … for solving the real well placement problem with high accuracy …

… In our study, we assess a set of six evolutionary algorithms for the optimization of the
placement of fog applications into fog devices: NSGA-II, NSGA-III, SMS-EMOA, RVEA, U-NSGA-III, …

… The authors utilised a multi-objective genetic algorithm (GA) to obtain an optimal placement
of wind turbines by maximising the power production while restricting the budget of installed …