Queen's Mate tells the story of three remarkable women who shaped and presided over the destiny of France during the last years of the 15th century and the early part of the 16th: Anne of France, Anne of Brittany, and Louise of Savoy. Although each is worthy of her own individual biography, their lives were so enmeshed by kinship, marriage and circumstances as to be well served by a book that mirrors the complex interweaving of their lives. Their story is rich enough in dramatic incident to provide a gripping narrative, but the book looks also at the wider issues: at the restrictions, particularly in the exercise of power, placed on the three women by society; at their success in ignoring or pushing back those barriers; at what they wanted or expected for their daughters; and at how they saw themselves in relation to men. The study draws largely on contemporary sources, both printed and manuscript, and presents material hitherto unknown or overlooked. It is the first study of the three women as a group, and indeed is one of the first modern, reliable studies in English or French of any one of them as an individual.

The Barefoot Beekeeper is a book about chemical-free beekeeping, showing how it can be made accessible for all including those with disabilities. No heavy lifting is required. The author advocates small-scale, low-impact beekeeping with minimal disturbance to the bees and more time spent observing and learning from them. He shows how to make everything you need to keep bees yourself using recycled materials and simple tools.

At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Tells the history of the French Renaissance through the lives of its most prominent queens and mistresses.