TY - BOOK ID - 88203663 TI - Adaption of simulated annealing to chemical optimization problems PY - 1995 SN - 9780444818959 0444818952 9780080544748 0080544746 9786611058135 1281058130 PB - New York : Elsevier, DB - UniCat KW - Chemistry KW - Simulated annealing (Mathematics) KW - Algorithm, Annealing KW - Algorithm, Probabilistic exchange KW - Annealing, Monte Carlo KW - Annealing, Simulated KW - Annealing algorithm KW - Cooling, Statistical KW - Exchange algorithm, Probabilistic KW - Hill climbing, Probabilistic KW - Monte Carlo annealing KW - Probabilistic exchange algorithm KW - Probabilistic hill climbing KW - Relaxation, Stochastic KW - Statistical cooling KW - Stochastic relaxation KW - Combinatorial optimization KW - Mathematics. UR - https://www.unicat.be/uniCat?func=search&query=sysid:88203663 AB - Optimization problems occurring regularly in chemistry, vary from selecting the best wavelength design for optimal spectroscopic concentration predictions to geometry optimization of atomic clusters and protein folding. Numerous optimization tactics have been explored to solve these problems. While most optimizers maintain the ability to locate global optima for simple problems, few are robust against local optima convergence with regard to difficult or large scale optimization problems. Simulated annealing (SA) has shown a great tolerance to local optima convergence and is often called a glob ER -