Iterative Combinatorial Auctions (ICA) have been getting increasing attention both from researchers and in practice as they can increase efficiency of complex markets with substitute or complement valuations. This paper suggests several improvements for such auctions. We analyze the impact of these rules along several performance measurements using numerical simulations under various value models. Based on these simulations we select successful rules and consider their possible combinations.